Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description carries full burden. It describes the action's effect but does not mention irreversibility, prerequisites, or edge cases.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences with clear front-loaded action. No unnecessary words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Tool is simple with no parameters; description covers the core behavior. Could mention if track changes must be enabled, but overall sufficient given output schema exists.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

No parameters exist, and schema coverage is 100%. Description does not need to add extra parameter meaning; baseline 4 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states the tool accepts all tracked changes, specifying what happens to insertions (kept) and deletions (removed). It distinguishes itself from 'reject_all_changes' implicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use vs alternatives like 'reject_all_changes' or prerequisites (e.g., track changes must be enabled). Usage is implied but not stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must convey behavioral traits. It mentions that bookmarks are for internal navigation and enforces a 'no spaces' constraint on bookmark_name, but does not disclose whether duplicate names are allowed, if the operation is undoable, or any side effects. This provides basic transparency but is not exhaustive.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise, upfront about its purpose, and includes a structured Args/Returns section. Every sentence contributes value, with no redundant or irrelevant content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity, the description adequately covers what it does, its parameters, and expected return. The mention of internal navigation adds useful context. However, it could specify uniqueness constraints or error conditions for added completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema lacks parameter descriptions (0% coverage), but the description adds clarifying details: 'Index of the paragraph to bookmark' for paragraph_index, and 'Name for the bookmark (no spaces)' for bookmark_name. This adds meaningful context beyond what the schema provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action: 'Add a bookmark to a paragraph in the document.' It specifies the resource (bookmark) and the verb (add), and distinguishes this tool from siblings like 'list_bookmarks' or 'add_hyperlink_to_bookmark' by focusing on bookmark creation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description does not provide guidance on when to use this tool versus alternatives, such as when to use 'add_hyperlink_to_bookmark' instead. It lacks explicit context about prerequisites or exclusions, leaving the agent to infer usage from the tool's purpose alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description must disclose behaviors. It only states the action, lacking details on idempotency, insertion location, required permissions, or side effects. Minimal transparency beyond the name.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise, with a single sentence for the action and a clear argument list. It is front-loaded with no unnecessary words, though it could be more structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description covers the basics but omits important context like where the list is inserted (e.g., at cursor) and any constraints on the items array. It is minimally adequate for a simple tool with 2 parameters.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description adds meaning by listing valid style values ('List Bullet', 'List Bullet 2', 'List Bullet 3') which are not in the schema. It clarifies 'items' as item texts. Since schema has no descriptions, this adds significant value.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it adds a bulleted list to the document. It uses a specific verb and resource, and is distinct from sibling tools like add_list_item or add_numbered_list.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given on when to use this tool instead of alternatives like add_list_item, add_multilevel_list, or add_numbered_list. The description does not provide any context for selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden. It does not disclose whether the tool appends to existing comments, requires document to be open, or if there are side effects. The return value is vaguely described as 'Success message or error', lacking specifics.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise: a single line of purpose followed by structured Args and Returns sections. No superfluous words. However, the docstring format with headings is acceptable. It is front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (4 parameters, no annotations), the description is incomplete. It lacks details on return value format, error conditions, and behavioral constraints. An agent would lack enough information to reliably invoke the tool in complex workflows.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description must compensate. It lists the four parameters with brief descriptions, matching the schema. However, it adds limited context (e.g., does not explain that paragraph_index is 0-based or valid range, or constraints on comment_text). It provides minimal added value beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action (add) and resource (comment to a paragraph). It directly tells what the tool does without ambiguity. Among siblings like add_bookmark or add_heading, this tool is distinct because it handles comments.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives (e.g., when to use comments vs. footnotes). No prerequisites or context about document state (e.g., must be open) are mentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the burden. It only states the basic function and that endnotes appear at the end. It does not disclose any behavioral traits such as whether it overwrites existing endnotes, required permissions, error handling, or side effects. This is minimal for a mutation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise and includes an Args section and a Returns line. It is front-loaded with the main purpose. However, the Args section is somewhat redundant with the schema, but overall it is well structured and short.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (2 required parameters) and the presence of an output schema, the description is minimally adequate. It explains the basic function and return type (success/error). However, it does not specify valid ranges for paragraph_index, behavior when index is out of bounds, or the effect on existing endnotes, which could be useful.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description lists the two parameters in the Args section but merely repeats the schema titles ('Index of the paragraph', 'Text content of the endnote'). With 0% schema description coverage, the description adds little extra meaning beyond what the schema already provides (type and title). No constraints, examples, or format details are given.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states the tool adds an endnote to a specific paragraph. It uses a specific verb ('Add') and resource ('endnote'), and distinguishes from footnotes by mentioning that endnotes appear at the end of the document, which differentiates it from sibling tools like add_footnote.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for adding endnotes, and notes that endnotes appear at the end, suggesting a difference from footnotes. However, it does not provide explicit guidance on when to use this tool versus siblings like add_footnote or add_native_footnote, nor does it mention prerequisites or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description must carry the burden of behavioral disclosure. It fails to specify whether adding a footer overwrites an existing one, behavior for invalid section_index, or any side effects like altering document structure.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise (two sentences plus argument list) and well-structured. It clearly separates the action, arguments, and return value without extraneous text.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's moderate complexity (three parameters, no annotations) and the presence of a simple output schema (success/error), the description is minimally complete. It covers the basic action and arguments but lacks details on edge cases, prerequisites, or behavior with multiple sections.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description must explain parameters. It lists the three parameters with brief explanations (e.g., 'Footer text content' for text, 'Text alignment - left, center, right' for alignment), adding value over the bare schema. However, the explanations are minimal and could be more precise.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Add a footer to the document section,' specifying the verb (add) and resource (footer) with context (document section). However, it does not differentiate from sibling tools like add_header or add_zoned_footer, which could cause ambiguity.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives such as add_zoned_footer or remove_footer. The description lacks any context about prerequisites, constraints, or typical use cases.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden of disclosing behavioral traits. It does not mention that this tool modifies the document, requires the document to be open, or what happens if the paragraph index is invalid. The description is too minimal to inform safe invocation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, which is brief but under-specified for a tool with two required parameters and no annotations. Key information is omitted, making it insufficiently helpful despite its brevity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given that this is a document manipulation tool with an output schema and numerous sibling tools, the description is severely incomplete. It does not mention return values, error scenarios, or relationship to other tools like 'open_document' or 'find_text'.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It does not explain the meaning or constraints of 'text' (e.g., footnote content) or 'paragraph_index' (e.g., zero-based indexing, range requirements). The parameter names are largely self-explanatory but lack crucial detail like format or edge cases.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Description states verb 'Add' and resource 'footnote' to a paragraph, making the basic action clear. However, with sibling tools like 'add_endnote' and 'add_native_footnote', it fails to distinguish what makes a footnote different from those, leaving the agent uncertain which tool to select.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives (e.g., endnotes or native footnotes). There is no mention of prerequisites like having a document open or paragraph index constraints, leaving the agent to guess appropriate usage context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided. Description only states it adds a header and returns success/error. Lacks behavioral details like error handling for invalid section_index or alignment values.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Short and front-loaded with purpose. Args section clearly maps to parameters. No unnecessary information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple tool with 3 parameters and output schema noted, description covers essential aspects. Lacks details on constraints (e.g., valid section indices) but adequate for basic usage.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so description adds meaning beyond schema. Lists parameters with explanations: text (content), section_index (default 0), alignment (allowed values). Provides useful context not present in schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Add a header to the document section' with specific verb and resource. It distinguishes from sibling tools like add_heading, add_footer, and remove_header.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives. Does not specify prerequisites or context for adding headers compared to other elements.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description discloses the basic behavior (adds a heading) and return type, but lacks details about side effects, insertion position, or error conditions. Since no annotations are provided, the description carries full burden and only meets the minimum.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Extremely concise with a clear header, bulleted args, and returns section. Every sentence is necessary and front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Lacks critical context such as the need for an open document, possible errors, or behavior with existing content. Despite the output schema existing, the description only states 'Success message or error', which is insufficient for a complete picture.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Adds minimal meaning beyond the input schema: explains level as '0-9, where 0 is Title' and text as 'Heading text'. With 0% schema description coverage, the description provides some but not extensive parameter context.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states the action ('Add a heading to the current document') with specific verb and resource. However, it does not differentiate from sibling tools like add_paragraph or add_numbered_list, which might also be used for heading-like content.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. There is no mention of prerequisites, context, or criteria for choosing add_heading over other add_* tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden of behavioral disclosure. It only states the action without detailing side effects, required permissions, or error handling (e.g., invalid paragraph index). The agent lacks critical behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence with no fluff. However, it could be more informative while remaining concise; structure is acceptable for a simple tool but not for a tool with multiple parameters.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has 4 parameters and an output schema, the description is far too brief. It does not explain the position parameter, the return format, or any constraints. The absence of crucial details makes it incomplete for effective tool selection and invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, meaning the description adds no information about parameters beyond their names and types. While parameter names are somewhat self-explanatory, the description fails to provide additional semantics such as the expected format for URL or the allowable values for position. This is inadequate for a tool with 4 parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the verb 'Add' and the resource 'hyperlink to a paragraph', making it clear what the tool does. However, it does not distinguish itself from the sibling 'add_hyperlink_to_bookmark', which might cause confusion for an AI agent.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives like 'add_hyperlink_to_bookmark', nor does it mention any prerequisites or restrictions. An AI agent would have to infer usage from the tool name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must carry the burden. It does not disclose behavioral traits such as whether the bookmark must exist, side effects on the document, or error conditions. Only mentions return value.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise and uses a clear Args section. It front-loads the purpose and explains parameters efficiently, with no unnecessary content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (2 required params, straightforward action), the description covers the essential behavior and return value. It lacks details like preconditions (bookmark existence) but is sufficient for basic usage.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description adds meaningful explanations for both parameters ('text: Display text', 'bookmark_name: Name of the target bookmark'), compensating for the schema gap effectively.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool adds a hyperlink that navigates to a bookmark in the document, specifying verb, resource, and target. It distinguishes from sibling 'add_hyperlink' (which likely targets URLs) by focusing on bookmark navigation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool versus alternatives like 'add_hyperlink'. The description only states what it does, not when it should be chosen over similar tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description fails to disclose behavioral traits beyond the basic action. It doesn't mention image format support, insertion behavior (cursor position, replacing existing), or output details (only vague 'Success message or error').

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise with no wasted words. It front-loads the purpose and uses a clear Args section. Every sentence adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 3 parameters and no annotations, the description is incomplete. It omits important context about image format support, file path requirements, insertion location, and detailed return structure. The output schema exists but is not leveraged in the description.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description must compensate. It explains each parameter briefly ('Path to the image file', 'Optional width in inches', 'Optional height in inches'), adding basic meaning. However, details like valid formats or default behavior for missing dimensions are omitted.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'Add an image to the current document.' The verb 'add' and resource 'image' are specific, and it distinguishes from siblings like add_image_base64 which uses base64 input.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives (e.g., add_image_base64, insert_image). It lacks context about prerequisites or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are available, so the description must reveal behavioral traits. It indicates the tool modifies the document ('Add an image'), but does not disclose constraints like potential destructive actions, required permissions, or behavior with invalid data. Minimal transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Extremely concise with a clear front-loaded purpose, followed by parameter descriptions and return value. Every sentence serves a purpose with no wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has few parameters and an output schema (implied), so the description covers basic usage. However, it lacks important behavioral context (e.g., supported image types, error handling) and usage differentiation from siblings. It is minimally complete but not robust.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must add value. It explains that base64_data can include a data URI prefix and that width_inches is optional. While not exhaustive, these clarifications go beyond the schema titles. However, it does not describe the accepted image formats or size limits.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states 'Add an image from base64 encoded data' with specific verb and resource. However, it does not distinguish from sibling tools like 'add_image' or 'save_base64_as_image', which may cause confusion about which tool to use.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives. Lacks context about prerequisites (e.g., document must be open), supported image formats, or size limits. The description does not mention when not to use it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Without annotations, the description must disclose behavioral traits. It states the tool adds an item and returns a message, but lacks details like whether it requires an existing list, potential side effects, or error conditions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very short and uses a structured 'Args' format, which aids readability. However, it omits critical context, making it under-specified rather than appropriately concise.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool adds a list item, but the description does not specify which document or list, or whether the list must exist. With an output schema present, the return value is partially covered, but the missing context makes it incomplete for an agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has no descriptions (0% coverage), so the description adds value by explaining 'text' is item text and 'list_type' is 'bullet' or 'number', clarifying the allowed values. This is helpful but minimal.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action 'Add a single list item' and mentions the two parameters. However, it does not differentiate from sibling tools like 'add_bulleted_list' or 'add_numbered_list', which might confuse an agent about when to use this tool versus those.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool or when to prefer alternatives. Given the numerous sibling tools for adding list items, the lack of usage context is a significant gap.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided; description omits side effects, permissions, or whether adding a field modifies the document persistently. Only states basic replacement behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences plus Args/Returns section; the Args section mostly repeats schema, and Returns is generic. Could be more streamlined.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Simple tool with one parameter; description covers basic operation but lacks connection to sibling 'execute_mail_merge' and doesn't detail return structure beyond 'success or error'.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, but description adds examples ('FirstName', 'Address') for the single parameter 'field_name', clarifying it as a string name. Adequate but minimal.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states the verb 'add' and resource 'mail merge field', and explains the purpose for mail merge data replacement. Distinct from sibling 'execute_mail_merge' which performs the actual merge.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Implies usage before executing mail merge, but does not explicitly state when to use or not use this tool, nor mention ordering relative to 'execute_mail_merge'.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries full burden. It only mentions a vague return of 'success or error' and does not disclose behavioral traits such as insertion point, overwrite behavior, or permissions needed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise with a single sentence for purpose and clear argument example. However, the return statement adds little value and could be omitted or expanded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity of adding a multi-level list and the absence of annotations or output schema details, the description is incomplete. It lacks context on level semantics, cursor position, and interaction with existing lists.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, but the description adds meaning by specifying the 'items' param requires dicts with 'text' and 'level' keys and provides an example. This compensates for the untyped schema, though level constraints are omitted.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool adds a multi-level list with nested items using a specific verb and resource. It distinguishes itself from sibling tools like add_bulleted_list (flat) and add_numbered_list (flat) by specifying nested structure.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for hierarchical lists but does not explicitly state when to use this tool over alternatives like add_list_item or add_bulleted_list. No when-not or exclusion criteria are provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries full burden for behavioral disclosure. It does not mention that the tool modifies the document, requires an open document, or any side effects. Only the return type is indicated.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short but includes a docstring format with 'Args:' and 'Returns:' lines that add clutter. It is front-loaded with the core action but could be more streamlined.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple tool with 2 parameters and an output schema, the description is mostly adequate but omits prerequisites (e.g., document must be open, paragraph must exist) and does not clarify the distinction from similar tools.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description adds meaning beyond the input schema by explaining what each parameter is: 'paragraph_index' is the index of the target paragraph, and 'footnote_text' is the text content. This compensates for the 0% schema description coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action 'Add a native Word footnote to a specific paragraph,' specifying the verb, resource, and target. However, it does not differentiate from sibling tools like 'add_footnote' or 'add_endnote', which may cause confusion.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives, nor any prerequisites or conditions. The description lacks context for appropriate usage.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description states it adds a list and lists parameters, but does not disclose behavior such as whether it appends to existing content, replaces, or how it handles errors. No annotations exist to supplement.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is efficiently structured with a clear purpose line, Args section, and Returns line. No redundant information, and key details are front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple tool with two parameters and a default, the description covers action, parameters, and return type. It is mostly complete but lacks usage guidance and behavioral details for edge cases.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema coverage, the description adds meaning by labeling 'items' as list of item texts and 'style' as one of three named styles. However, it lacks detail on style formatting differences and does not list all possible values.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb-resource pair ('Add a numbered list') that clearly distinguishes this tool from siblings like add_bulleted_list or add_multilevel_list. It immediately conveys the exact function.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives (e.g., add_bulleted_list, add_list_item). There is no mention of prerequisites, context, or when not to use it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description notes a return of 'Success message or error', which gives a basic outcome but lacks details on side effects (e.g., cursor position, impact on existing content). Since no annotations exist, the description carries the burden, but the simplicity of the action makes this minimally adequate.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is exceptionally concise: a single clear sentence plus a brief return specification. Every word is informative and front-loaded. Perfect conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given zero parameters and a simple action, the description is mostly complete. However, it lacks comparison to similar tools (e.g., page break vs. section break) and does not explain the 'Success message' format. There is room to add context for better decision-making.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has zero parameters, and the schema coverage is 100% (trivially). The description adds context ('current document') that is not in the schema, so it provides meaning beyond the empty schema. For zero parameters, a baseline of 4 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Add' and the resource 'a page break', specifying the context 'to the current document'. It uniquely identifies this tool among siblings without ambiguity.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives like 'add_section_break' or 'add_paragraph'. The description does not specify prerequisites (e.g., a document must be open) or when not to use it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations are absent, so the description carries full burden. It mentions adding page numbers but does not disclose behaviors like whether it overwrites existing header/footer content, requires specific section existence, or other side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise, front-loaded with the main purpose, and the parameter list is clear with no extraneous information. Every sentence earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is simple with 4 parameters, but the description lacks details on return values (beyond 'success message or error'), error conditions, and interaction with existing content. Given the absence of output schema explanation and annotations, it is minimally adequate but not fully complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description adds meaning by explaining each parameter's role (e.g., 'position: header or footer', 'format_string: use {page}'). Schema only provides titles and defaults, so description adds value.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Add' and the resource 'page numbers' and specifies the target location 'header or footer', distinguishing it from sibling tools like add_header or add_footer.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives, no prerequisites or exclusions mentioned. The sibling list is extensive but no context is provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description carries full burden. It describes parameters but omits side effects (e.g., whether it resets formatting, requires an open document, or validates style names). Returns are mentioned only as 'success message or error' without specifics.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with a clear list of parameters but is slightly verbose. It could be more concise while retaining clarity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 9 parameters and 1 required, the description covers most parameter semantics but lacks broader context like document state requirements (e.g., must have an open document) or integration with other tools.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description fully compensates by explaining each parameter's meaning and providing examples (e.g., 'Normal' for style, hex for color). This adds significant value beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action (add), the resource (paragraph), and the scope (to the current document). It is specific and distinguishable from sibling tools like add_heading or add_bulleted_list.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description does not provide explicit guidance on when to use this tool versus alternatives (e.g., insert_paragraph_after, add_heading). The intended use is implied but not stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description carries full burden. It only mentions return value but does not disclose side effects, requirements (e.g., open document), or behavioral traits like tracking changes or placement.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, no fluff. Action and return value are front-loaded. Every sentence is necessary.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given tool simplicity (no parameters), description lacks context on where the section is added (e.g., at end or in current position) and how it interacts with other document elements. Output schema exists but does not cover these details.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Tool has zero parameters, so baseline is 4. Description does not need to add parameter information.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states the action 'Add a new section to the document' with a specific verb and resource. It is distinct from sibling tools like 'add_section_break' and 'add_paragraph'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives. No mention of prerequisites or conditions for adding a section.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description must fully disclose behavioral traits. It only mentions the return value is a success or error message, lacking details on side effects such as document structure changes, impact on headers/footers, or interaction with sections.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise with a clear one-line purpose followed by structured Args and Returns sections. No unnecessary information is present.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple tool with one parameter, the description covers the basic purpose and parameter fully. However, it lacks details on the behavioral impact of adding a section break, which would be helpful for a complete understanding.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0% description coverage, but the description thoroughly explains the 'section_type' parameter with all allowed values and their meanings. This adds significant semantic value beyond the bare schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it adds a section break, a specific action on a document object. However, it does not differentiate from the sibling tool 'add_section', which could cause confusion for the AI agent.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives like 'add_page_break' or 'add_section'. The description only states what it does, not when it's appropriate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It lacks details on insertion point (cursor vs end), destructive nature (modifies document), or error handling beyond a generic success/error message.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise with a clear header, structured Args list, and Returns line. No unnecessary sentences.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Considering output schema exists, return value is adequately described. However, missing details on insertion location and prerequisites (e.g., document must be open) make it moderately complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description adds meaning by naming the parameters (rows, cols, data, style) and clarifying that data is optional 2D array and style default is 'Table Grid'.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Add' and resource 'table' to the 'current document', distinguishing it from siblings like add_table_row or append_table_row.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool versus alternatives like add_table_row. The description implies usage but does not provide when-not-to-use or prerequisites.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Without annotations, the description carries full behavioral disclosure. It states the tool adds a TOC but only discloses as a note that the field must be updated in Word. It does not mention that the TOC is not auto-populated, whether it overwrites existing TOCs, or any permissions needed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is relatively short but includes redundant Args section that repeats parameter info from the schema. The note about updating in Word is important but placed at the end. Overall adequate but not optimally concise.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no annotations and schema coverage, the description is incomplete. It lacks details on behavior when no headings exist, whether it replaces existing TOCs, and the exact return format. The existence of sibling 'update_toc' makes this gap more significant.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description must add meaning. It provides ranges for heading_levels (1-9) and default values, which is helpful. However, it does not explain the effect of different values or any constraints beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool 'Add a Table of Contents to the document' and specifies it includes headings up to a given level. It distinguishes itself from siblings like 'update_toc' and 'add_heading'. However, it could be more precise about the TOC being a field that requires manual update.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives like 'update_toc' or 'add_heading'. It does not mention prerequisites (e.g., existing headings) or when not to use it. The note about updating in Word is buried.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided; the description only states the action without revealing behavioral traits such as whether the operation is destructive, requires the document to be saved, or affects other parts of the document. For a mutation tool, this lack of disclosure is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise, with the purpose stated in the first sentence and parameter descriptions following. No unnecessary information; every sentence adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's low complexity (2 parameters, simple action), the description is minimally adequate but lacks usage context and behavioral transparency. The presence of an output schema helps, but the description does not leverage it to explain return values.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description adds meaning beyond the schema by clarifying that table_index is 0-based and data is an optional list of cell values. However, with 0% schema description coverage, more parameter explanation could be provided. The description does not explain the format of cell values or constraints.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Add a row to an existing table,' using a specific verb and resource. It distinguishes from sibling tools like add_table (which creates a table) and delete_table_row (which removes a row), though not explicitly mentioned.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives, no prerequisites mentioned (e.g., document must be open, table must exist), and no exclusions provided. The description assumes the user already knows the context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description carries full burden. It mentions 'via header' but lacks details on behavior (e.g., overwrites existing header, inserted position, reversibility, or effect on different document sections). Minimal disclosure for a mutation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Single sentence is concise but under-specified. Fails to provide adequate information; conciseness without substance is not effective.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 2 parameters with defaults and no behavioral annotations, description is insufficient. Lacks context on how watermark integrates with document, impact on headers, and parameter implications.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so description must explain parameters. It does not mention 'text' or 'section_index', their roles, or defaults. Agent has to infer from schema alone, which lacks descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states verb ('Add'), resource ('simple text watermark'), and method ('via header'). It distinguishes from sibling tools like add_header (which adds generic header content) by specifying a specific use case. However, it could more explicitly contrast with related tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool vs alternatives (e.g., add_header or adding watermark via footer). No prerequisites, exclusions, or context provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries full burden. It only mentions 'Returns: Success or error message' without disclosing behaviors like overwriting existing footers, effects on other sections, or error conditions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise and structured as a docstring, with clear sections for args and returns. Every sentence adds value, though slightly verbose in listing parameters.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the output schema likely covers return structure, the description gives minimal context. It lacks details on interaction with existing footers or required document state, which would improve completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, but the description adds meaningful context for each parameter (e.g., 'section_index' as the target section, 'left_text' for the left zone). This goes beyond the bare schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Add') and the specific resource ('footer with left, center, and right zones'), differentiating it from siblings like 'add_footer' and 'add_zoned_header'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives, such as when a zoned footer is preferred over a regular footer, or any prerequisites.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description should detail behavioral traits. It only mentions return type (success/error) but omits whether the header is added at start/end, if it overwrites existing headers, or side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short but includes a redundant docstring that repeats parameter names. It is structured but not optimally concise; the purpose message is enough, and args/returns add informational value despite redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the output schema exists, the description is adequate but lacks deeper context on header zone semantics or alignment. For a tool with 4 parameters and many siblings, more detail would improve completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so description must compensate. While it lists parameters and their roles, it adds no extra meaning beyond names—e.g., does not explain 'section_index' indexing or defaults, which are in schema but not clarified.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool adds a header with three zones (left, center, right), specifying a distinct verb and resource. It distinguishes from 'add_header' and aligns with sibling 'add_zoned_footer'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives like 'add_header' or other header-related tools. The description lacks context on prerequisites or scenarios.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description must disclose all behavioral traits. It only says 'Append a row' and 'Returns Success or error message', but fails to mention that it modifies the document, requires an open document, or what happens if the table index is invalid. This is insufficient for an agent to understand the tool's effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise, with a clear purpose statement up front and a structured listing of attributes. It omits unnecessary words, but could benefit from a brief usage note or example. Still, it is appropriately sized for a simple operation.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given an output schema exists, the description could be more complete. It does not explain that the table must already exist, or how the tool handles errors (beyond a vague 'error message'). The tool has many siblings with similar functions, and the description lacks the detail needed for an agent to decide confidently.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description adds brief parameter explanations ('Index of the table', 'Optional list of cell values for the new row') that go beyond the input schema's type and title. However, with 0% schema description coverage, it barely meets the baseline. The explanations are minimal and do not clarify data format or constraints.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Append a row to a table', which is a specific verb and resource. However, it does not differentiate from the sibling tool 'add_table_row', which likely performs a similar function. This lack of distinction prevents an agent from selecting the correct tool confidently.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives like 'add_table_row' or 'edit_table_cell'. It does not mention any prerequisites (e.g., the table must exist) or scenarios where this tool is appropriate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description does not disclose important behavioral traits like whether existing formatting is overwritten, if header rows are affected, or that colors are expected as hex codes. With no annotations, more transparency is needed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence with no wasted words, front-loading the core purpose effectively.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the lack of annotations and the existence of an output schema, the description omits critical context such as the effect on the document, any prerequisites (like an existing table), and the nature of the output.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description mentions 'alternating row colors' but does not explain that color1 and color2 correspond to odd and even rows, nor does it clarify that they are hex color codes. With 0% schema description coverage, the description should compensate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action (apply) and resource (alternating row colors to a table), making the purpose immediately understandable. However, it does not differentiate from sibling tools like set_table_cell_shading.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives, such as editing cell shading manually or using other formatting tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description alone must disclose behavioral traits. It indicates a mutation (applying style) but lacks details on reversibility, side effects (e.g., track changes), required permissions, or behavior with invalid indices. The return value is mentioned, but deeper behavioral context is missing.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise with a single-sentence purpose followed by clear Args and Returns sections. Every sentence is informative, no fluff, and the action is front-loaded, making it easy to parse.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (batch operation, 3 parameters) and presence of an output schema, the description covers the essentials but lacks completeness. It does not address error scenarios, style existence validation, or behavior with empty ranges, leaving some gaps for a full understanding.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description must add meaning. It explains that style_name is the style name, start_index defaults to 0, end_index is exclusive and defaults to all remaining. This adds value beyond the schema titles but lacks details on valid style names, error handling, or out-of-range behavior.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Apply a style to a range of paragraphs,' specifying the verb (apply) and resource (style to paragraphs). This distinguishes it from sibling tools like add_heading or set_paragraph_text, which focus on different operations.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for formatting paragraphs by style but does not explicitly state when to use this tool versus alternatives like set_paragraph_text or add_heading. No when-not conditions or alternative tools are mentioned, leaving the agent to infer context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations exist, so the description carries full burden. It states the function but does not disclose behavioral details such as whether replacements are case-sensitive, affect formatting, trigger track changes, or are reversible. The example is helpful but insufficient for full transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is brief and uses clear sections for Args and Returns. While not front-loaded, it is efficient and avoids fluff. Minor structure improvement would be to lead with the primary purpose more prominently.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has an output schema (not shown) and one parameter, the description adequately covers return format (success/count or error). However, it lacks context on order of replacement application, behavior with overlapping keys, and interaction with the document state (e.g., undo).

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description must compensate. It explains the 'replacements' parameter with a concrete example, adding meaning beyond the schema's basic type definition. However, it omits details like whether keys are case-sensitive or support special characters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Replace multiple strings in the document at once,' with a specific verb (replace) and resource (strings in document). Among sibling tools like find_and_replace (likely single replacement) and redact_text, this tool is distinctly positioned for batch replacements.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description does not provide any guidance on when to use this tool versus alternatives (e.g., find_and_replace for single replacements, redact_text for redaction). There is no explicit context or when-not-to-use advice, leaving the agent to infer usage.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states it returns 'Pandoc status and supported formats' but does not explain what 'status' means (e.g., boolean, error code), how failures are handled, or the exact return structure. Although an output schema exists, the description lacks sufficient behavioral context for an agent to understand side effects or error behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise: two short sentences with no wasted words. It is front-loaded with the main action and result. Every sentence adds value, and the structure meets the needs of a simple tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's low complexity, zero parameters, and the presence of an output schema, the description is minimally adequate. However, it lacks details about what 'status' entails and how supported formats are returned. For a tool that may be used before other Pandoc operations, slightly more information (e.g., sample return keys) would improve completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, and the schema coverage is 100% (trivially). With no parameters to document, the description does not need to add parameter semantics. The baseline for 0 parameters is 4, as the description is adequate for a parameterless tool.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's function: 'Check if Pandoc is available and get supported formats.' It uses a specific verb ('check') and resource ('Pandoc availability and formats'), distinguishing it from sibling tools like convert_with_pandoc_advanced which focus on conversion.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites, when-not-to-use scenarios, or that it should be called before Pandoc conversion tools. The usage context is only implied (e.g., before converting with Pandoc).

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided; description only says 'without saving' but fails to mention consequences like loss of unsaved changes or side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two-sentence description is front-loaded, efficient, and contains no redundant information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple parameterless tool, description covers action and return; but misses explicit mention of data loss. Output schema exists so return value explanation is not needed.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

No parameters, so baseline 4 applies; description adds context that the tool performs a close action without saving.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states action ('Close'), resource ('current document'), and condition ('without saving'), distinguishing it from save_document and other tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use vs alternatives; usage is implied but not stated (e.g., 'discard changes').

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description indicates file-based conversion with input/output paths and returns output path or error. However, without annotations, it omits details like overwrite behavior, file size limits, or error handling, limiting full transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise and well-structured with Args list, Returns line, and supported formats. Every sentence is informative, though the list of formats could be more compact.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description covers conversion logic and output, but given the large set of sibling tools and the general nature of this tool, it lacks guidance on when to choose this over specialized converters, which is a gap in completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description compensates well by explaining each parameter's purpose and optionality, including auto-detection for from_format and to_format. This adds significant value beyond the bare schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states conversion between document formats using Pandoc and lists supported formats. However, it does not differentiate from the many specific conversion sibling tools (e.g., convert_docx_to_markdown), which reduces clarity on when this general tool is preferred.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explains that formats are optional and auto-detected, implying usage for arbitrary conversions. But it lacks explicit guidance on when to use this tool versus dedicated converters, and does not mention prerequisites or when not to use it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must carry the full burden. It describes the conversion operation but does not explicitly state that the original file remains unchanged, mention any prerequisites (e.g., pandoc installation), or discuss error handling. For a simple read-like conversion, this is minimally adequate but could be more transparent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise with no wasted words. It front-loads the core purpose in the first sentence and structures parameters in a clear list. Every sentence is necessary and informative.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the presence of an output schema (not shown), the description is relieved from explaining return values. However, it lacks context on default behavior for optional parameters, supported Markdown flavor, and error handling. For a tool with many siblings, this is adequate but not thoroughly complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must add meaning. It provides brief explanations for all three parameters (input_path, output_path, extract_media), which adds value beyond their names. However, details like default output path behavior or extract_media format are missing, so it only meets the baseline.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Convert Word document to Markdown', using a specific verb and resource. It distinguishes itself from sibling tools like convert_docx_to_pdf (different output format) and convert_markdown_to_docx (reverse direction), making its purpose unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. With many sibling conversion tools (e.g., convert_document, convert_with_pandoc_advanced), explicit context on appropriate use cases or limitations is lacking. The tool's purpose is implied but not elaborated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description carries full burden. It only states basic conversion and return, but lacks details on behavior like file size limits, formatting preservation, or error handling.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Description is extremely concise with only two lines of actual text beyond the args. It is front-loaded with the main purpose and each sentence is necessary.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple conversion tool with output schema, the description is adequate but could mention more about error conditions or prerequisites. Given no annotations, it is minimally complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema coverage, the description adds meaning: 'input_path' is clarified as path to input DOCX file, and 'output_path' is described as optional with auto-generation. This adds value beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool converts a Word document to PDF, with specific verb and resource. Among siblings, it is distinct from other conversion tools, making its purpose clear.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool vs alternatives like convert_document or convert_pdf_to_docx. The description does not provide context for appropriate usage.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must bear the full burden of behavioral disclosure. It only mentions the return type ('Output path or error message') but does not disclose side effects (e.g., file overwriting) or dependencies (e.g., pandoc).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise, with a clear purpose statement followed by parameter and return descriptions. Every sentence provides necessary information without extraneous content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity and the existence of an output schema, the description covers the essential purpose, parameters, and return type. It is sufficient for correct invocation, though it could mention potential error conditions or default output path behavior.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema coverage, the description adds meaningful one-line explanations for all three parameters (input_path, output_path, reference_doc). It clarifies their roles beyond the schema titles, though it could detail default behaviors when optional params are omitted.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool converts HTML to a Word document, with a specific verb ('Convert') and resource ('HTML to Word document'). It is distinct from sibling tools like convert_markdown_to_docx or convert_html_to_pdf.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description does not provide when to use this tool versus alternatives like convert_markdown_to_docx. It does not mention prerequisites (e.g., pandoc) or any exclusions, relying on implied usage.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description should disclose behavioral traits. It only lists parameters and return value, missing details like error handling, supported HTML features, or resource usage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise with a single sentence and structured Args section. No wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Sufficient for a simple conversion tool but lacks details on output format, error scenarios, or limitations. Output schema exists but description only mentions return value.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so description compensates minimally. Provides brief explanations for both parameters ('Path to input HTML file', 'auto-generated if not provided'), adding value beyond schema types.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool converts HTML to PDF, which is a specific verb and resource. It distinguishes from siblings like convert_docx_to_pdf or convert_markdown_to_html.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this versus other conversion tools. Lacks context about prerequisites (e.g., HTML file must exist) or behavior when output_path is omitted.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, description carries full burden. It discloses basic behavior (conversion, resizing, quality for JPEG) but omits critical details like supported input/output formats, whether aspect ratio is preserved, and potential side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Description is a single, front-loaded sentence with a clear args list and return statement. No wasted words; every sentence earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Covers core functionality but lacks details on supported formats, aspect ratio handling, and behavior for unsupported extensions. Output schema exists but description's return notation is sufficient.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so description compensates fully by explaining each parameter: input_path, output_path (format by extension), width (optional), height (optional), quality (JPEG 1-100). Adds value beyond schema titles and defaults.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states 'Convert an image to a different format with optional resizing,' specifying verb and resource. It distinguishes itself from sibling document-oriented conversion tools by being explicitly for images.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Description implies usage for image format conversion but provides no guidance on when to use this tool versus alternatives (e.g., other convert_* tools), nor any exclusions or prerequisites.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries full burden but only states returns 'output path or error message.' It does not disclose side effects, overwrite behavior, required permissions, dependency on pandoc, or handling of unsupported markdown features. This is insufficient for a reliable tool call.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise and front-loaded with the main action. It uses a clean two-line header plus structured args/returns format, with every sentence adding value and no redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description covers the basic purpose, parameters, and return value, but lacks usage guidelines and behavioral details. It does not mention dependencies (e.g., pandoc via sibling check_pandoc) or help differentiate among similar conversion tools. It is adequate but has clear gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Despite 0% schema description coverage, the description adds clear, concise explanations for all three parameters: input_path as path to Markdown file, output_path as optional output DOCX path, and reference_doc as optional styling template. This compensates well for the schema's lack of descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool converts Markdown to a Word document, using specific verbs and resources. It distinguishes from siblings like convert_docx_to_markdown, convert_html_to_docx, and convert_markdown_to_html by specifying the exact input and output formats.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites, scenarios, or situations where other conversion tools would be more appropriate, leaving the agent without context for selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It mentions conversion but does not disclose behaviors such as error handling, overwrite policies, performance characteristics, or file encoding assumptions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise, using an Args/Returns structure. It is front-loaded with the core purpose. Minor redundancy with the schema, but overall efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the presence of an output schema, the description does not need to explain return values. It covers all three parameters, but lacks additional context like examples or error conditions. Moderate completeness for a simple conversion tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description adds brief meaning for each parameter (e.g., 'Path to input Markdown file', 'Optional output HTML path', 'Optional CSS file to include'). However, it lacks depth, such as format constraints or default behaviors.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool converts Markdown to HTML, using a specific verb and resource. This distinguishes it from sibling tools like convert_markdown_to_docx or convert_html_to_docx.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives or when not to use it. There are no explicit hints about prerequisites, context, or exclusion criteria.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description must disclose all behavioral traits. It mentions conversion and optional output path but does not indicate side effects (e.g., file overwriting), required permissions, or error handling beyond 'error message'. This is minimal disclosure.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short (5 lines), starts with a clear statement, and uses structured args list. It could be more compact (e.g., bullet points) but is free of redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no annotations and low param coverage, the description should cover prerequisites (e.g., pandoc), output behavior, and error conditions. It omits these, leaving gaps for the agent. The existence of an output schema partially compensates, but the description itself is incomplete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description must add meaning. It briefly explains each parameter but lacks depth: e.g., 'reference_doc: Optional reference PPTX for styling' does not specify how styling is applied (template vs. style copy). Adds marginal value over the schema titles.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Convert Markdown to PowerPoint presentation', which is a specific verb-resource pair. It distinguishes from sibling tools like convert_markdown_to_docx or convert_document by specifying the output format (PPTX).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool versus alternatives like convert_markdown_to_docx or check_pandoc. The description implies usage for PPTX conversion but does not mention prerequisites (e.g., pandoc installation) or when not to use.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description minimally discloses that output_path is optional and auto-generated, and returns path or error. However, it does not mention file overwrite behavior, supported PDF versions, or error conditions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Short and to the point, but uses structured 'Args:' and 'Returns:' formatting which is slightly redundant. No wasted sentences.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple conversion tool, it covers the basic parameters and return. Missing context on file handling (e.g., does it require valid path, what happens if PDF is corrupted, output location if not specified). Lacks completeness for a production tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so description needed for parameters. It explains input_path as path to input PDF and output_path as optional auto-generated DOCX path. This adds meaning beyond schema types. Could be more detailed but compensates well.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states 'Convert a PDF to Word document' with specific verb 'convert' and resource 'PDF to DOCX'. Among many conversion siblings, this one is uniquely identified by the source-target pair.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus other conversion tools like convert_document or convert_docx_to_pdf. No context on prerequisites or limitations.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries full burden for behavioral disclosure. It lists parameters but does not disclose side effects (e.g., file overwrites), required permissions, or error conditions beyond 'error message'. Key behavioral traits like destructive potential are omitted.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with a clear one-line summary, followed by a concise bullet list of parameters with brief explanations. It is not verbose and efficiently covers all parameters, though the bullet format is straightforward rather than polished.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity and the lack of annotations, the description misses key contextual elements: no usage guidance, no behavioral transparency, and no explanation of return values (though output schema exists). The agent would need additional knowledge to use this tool correctly alongside its many siblings.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Despite 0% schema description coverage, the description adds meaningful context for all 13 parameters, explaining their purpose (e.g., 'Input file path', 'Pandoc input format (optional, auto-detect by extension)'). This compensates for the schema gap, though some parameters lack example values or constraints.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it is for 'Advanced Pandoc conversion' and lists capabilities like filters, defaults, metadata, variables, and custom PDF engine. This distinguishes it from simpler conversion tools among siblings. However, it does not explicitly state the core conversion action in a standalone verb-resource phrase.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given on when to use this advanced tool versus simpler alternatives like convert_document or convert_markdown_to_docx. The description implies 'advanced' use but does not specify conditions or exclusions, leaving the agent without clear decision criteria.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description must fully disclose behavior but only states 'Create a copy'. It does not mention whether the original document is modified, whether the copy overwrites existing files, or any side effects. This lack of transparency hinders safe tool selection.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and to the point, but it sacrifices detail for brevity. While it avoids verbosity, it is too sparse to fully inform the agent, making it average in this dimension.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite having an output schema, the description lacks crucial context such as behavior on existing file, permissions needed, or relationship to the open document state. For a simple operation, it misses key completeness factors.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description only restates 'dest_path: Destination file path' without adding meaning beyond the schema (e.g., path format, whether it can be absolute/relative, or restrictions). The parameter semantics are insufficient for correct invocation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Create a copy') and the resource ('current document'), making the tool's purpose easy to understand. It is distinct from sibling tools like 'save_document' or 'insert_document', though it could be more explicit about the scope (e.g., 'of the currently open document').

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. Sibling tools include various document operations but no comparison or conditions are given, leaving the agent to infer usage context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It only states the return type but does not disclose behavioral traits such as performance, read-only nature, or behavior on empty documents.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Short and front-loaded with the core action. Efficient, though could benefit from a bit more context.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the simple tool (zero parameters, output schema exists), the description is reasonably complete. It states what is returned.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

No parameters exist, so the description does not need to add parameter info. Baseline 4 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action 'Get the number of paragraphs' and the resource 'the current document'. This distinguishes it from sibling tools like get_word_count.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives. Does not mention prerequisites or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are present, so the description bears full responsibility. It only states 'Create a new Word document' without disclosing behavioral traits like whether it opens the document automatically, saves immediately, or any side effects on existing documents.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise with a clear structure (Args and Returns). It is front-loaded with the purpose statement and has no unnecessary words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description covers the basic purpose, parameters, and return type. However, it lacks context on the document creation process (e.g., default settings, overwrite behavior) and does not leverage the available output schema to enhance completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description adds meaningful explanations for both parameters: 'file_path: Full path where to save the document' and 'title: Optional title to add as heading'. This compensates well for the schema gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Create a new Word document' clearly states the action and resource. It distinguishes from sibling tools like add_paragraph, open_document, etc., which focus on modifying existing documents. However, it does not elaborate on scope or constraints.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives (e.g., open_document, insert_document). No prerequisites or context provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description discloses the requirement for the openpyxl package. It states returns are success or error message but does not mention side effects like overwriting existing files. With no annotations provided, the description carries the full burden but is minimal.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise with a single sentence for purpose, followed by sections for Args and Returns. It is front-loaded with the main action and contains no unnecessary words or redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is straightforward, and the description covers the main purpose, parameters, dependency, and return type. However, it could be more complete by mentioning whether the output file is overwritten or if there are any size limitations.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description's Args section provides necessary meaning for all three parameters: csv_path, excel_path, and sheet_name with default. The descriptions are clear and adequate for an agent to use the tool correctly.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool converts a CSV file to Excel format, which is a specific verb+resource+format. It distinguishes from sibling tools like csv_to_table (which converts to a table in a document) and excel_to_csv (reverse operation).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit when-to-use or when-not-to-use guidance is provided. It does mention the prerequisite openpyxl package, which is helpful for usage context. However, it lacks differentiation from similar conversion tools like csv_to_table.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description bears full burden. It states only basic behavior (import CSV as table) without disclosing side effects (e.g., overwriting existing tables, file not found handling, permissions, or error details).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Description is extremely concise (4 lines) with front-loaded purpose. No superfluous text; every sentence adds value. Args and Returns are clearly separated.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Output schema exists but only returns success/error message. Missing context: file existence, overwrite behavior, supported delimiter characters, and integration with current document. Adequate for a simple tool but has gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so description adds meaning. It defines 'csv_path' as 'Path to the CSV file' and 'delimiter' as 'Column delimiter (default comma)'. This provides clear semantics beyond the schema titles.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Import a CSV file as a table in the current document,' specifying the verb (Import), resource (CSV file), and target (table). This distinguishes it from siblings like 'add_table' (creates empty table) and 'excel_to_table' (imports Excel).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool vs alternatives. It does not mention prerequisites, file requirements, or situations where other tools (e.g., 'read_csv', 'excel_to_table') would be more appropriate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Without annotations, the description carries full burden but only states it returns 'success message or error'. It does not disclose that the action is destructive and irreversible, nor does it mention permission requirements or effects on document state.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise with one sentence and a return note, containing no fluff or redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the simplicity (no parameters, clear action) and presence of an output schema, the description is mostly complete. However, it could mention that this is a destructive action that cannot be undone.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There are no parameters, so the schema covers everything. The description adds no parameter info, but baseline for 0 parameters is 4.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('delete all comments') and the target resource ('from the document'), effectively distinguishing it from sibling tools like 'add_comment' and 'get_all_comments'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives, or any prerequisites or exclusions. The agent is left to infer usage context from the name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description must carry full burden. Does not disclose side effects (e.g., index adjustment, irreversibility), prerequisites (e.g., open document), or error handling beyond a generic error message.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Extremely concise: two sentences for purpose and args. Front-loaded with intent, no fluff.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Serviceable for a simple delete operation with one parameter, but lacks detail on return value (vague 'Success message or error') and does not address the large sibling context. With 179 siblings, more differentiation would improve completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% (no parameter descriptions in schema), but the description adds crucial info: index is 0-based. This adds significant meaning beyond the raw schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.