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

With no annotations provided, the description carries full burden but offers minimal behavioral disclosure. It states the action ('Add documents') but doesn't describe what happens on success/failure, whether IDs must be unique, if documents are indexed immediately, rate limits, or authentication needs. For a mutation tool with zero annotation coverage, this leaves significant gaps in understanding the tool's 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 appropriately sized and front-loaded with the core purpose in the first sentence. The parameter list is organized but could be more integrated with the main description. No wasted sentences, though the structure is somewhat basic.

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 4 parameters with 0% schema coverage, no annotations, no output schema, and being a mutation tool in a complex sibling set, the description is incomplete. It covers basic parameter semantics but lacks behavioral context, usage guidance, error handling, and output expectations. For a document addition tool in a vector database context, more completeness is 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?

Schema description coverage is 0%, so the description must compensate. It lists all 4 parameters with brief explanations, adding meaning beyond the bare schema (e.g., 'List of text documents', 'Optional list of metadata dictionaries'). However, it doesn't explain relationships between parameters (e.g., arrays must have same length), constraints (e.g., ID uniqueness), or provide examples, leaving some semantic gaps.

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 ('documents to a Chroma collection'), making the purpose immediately understandable. It distinguishes from siblings like chroma_delete_documents and chroma_update_documents by specifying addition rather than removal or modification. However, it doesn't explicitly contrast with chroma_create_collection or chroma_fork_collection in terms of collection-level vs document-level 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?

No guidance is provided on when to use this tool versus alternatives. The description doesn't mention prerequisites (e.g., collection must exist), when not to use it, or suggest alternatives like chroma_update_documents for modifying existing documents. The agent must infer usage from the 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?

No annotations are provided, so the description carries full burden. It mentions 'configurable HNSW parameters' but doesn't explain what these are, their defaults, or behavioral traits like error handling, permissions needed, or what happens on duplicate collection names. This leaves significant gaps 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 appropriately sized and front-loaded with the main purpose, followed by a structured Args section. Each sentence adds value, though the HNSW reference is vague and could be more precise.

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, no output schema, and 3 parameters with 0% schema coverage, the description is incomplete. It explains parameters well but lacks behavioral context (e.g., mutation effects, error cases) and doesn't address the HNSW configuration mentioned, leaving gaps for a creation 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 description coverage is 0%, so the description must compensate. It adds meaning by explaining each parameter's purpose: collection_name for naming, embedding_function_name with specific options, and metadata as an optional dict. This covers all 3 parameters adequately, though it doesn't detail HNSW parameters mentioned in the opening.

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 new Chroma collection') and resource ('Chroma collection'), distinguishing it from siblings like chroma_delete_collection or chroma_modify_collection. However, it doesn't fully specify what 'configurable HNSW parameters' means, which slightly reduces specificity.

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 creating collections, but provides no explicit guidance on when to use this tool versus alternatives like chroma_fork_collection or chroma_modify_collection. It lists embedding function options, which hints at context, but lacks clear when/when-not instructions 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 provided, the description carries full burden for behavioral disclosure. It states this is a deletion operation (implying destructive action) but doesn't specify whether deletion is permanent, requires specific permissions, affects related data, or provides confirmation feedback. For a destructive tool with zero annotation coverage, this leaves significant behavioral gaps.

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 appropriately brief with two sentences: a clear purpose statement followed by parameter documentation. It's front-loaded with the main action and wastes no words, though the parameter documentation could be slightly more integrated rather than separate.

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 destructive deletion tool with no annotations and no output schema, the description is insufficiently complete. It doesn't address critical context like what happens after deletion (confirmation? error handling?), whether deletion cascades to documents, or what permissions are required. The description should provide more operational context for such a high-impact operation.

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 and only one parameter, the description fully documents the parameter's purpose ('Name of the collection to delete'), adding essential meaning beyond the bare schema. It clearly explains what the collection_name parameter represents in the context of this deletion operation.

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 specific action ('Delete') and target resource ('a Chroma collection'), distinguishing it from siblings like chroma_modify_collection or chroma_fork_collection. It uses precise language that immediately communicates the tool's function 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 chroma_modify_collection or chroma_delete_documents. The description lacks context about prerequisites (e.g., whether the collection must be empty) or consequences of deletion, offering only basic functional information.

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 of behavioral disclosure. It effectively describes the destructive nature ('Delete'), error conditions (ValueError for empty ids, Exception for missing collection or operation failure), and return value (confirmation message with count). However, it lacks details on permissions, rate limits, or side effects beyond deletion.

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 and front-loaded with the core purpose, followed by organized sections for Args, Returns, and Raises. Every sentence adds value, with no redundant or extraneous information, making it efficient and 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?

For a destructive tool with 2 parameters, 0% schema coverage, and no output schema, the description is largely complete: it covers purpose, parameters, errors, and return value. However, it could improve by mentioning sibling tools for context or detailing the confirmation message format, slightly reducing 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 schema description coverage is 0%, so the description must fully compensate. It clearly explains both parameters: 'collection_name' as the target collection and 'ids' as the list of document IDs to delete, including validation (ids cannot be empty). This adds essential meaning 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 specific action ('Delete documents') and target resource ('from a Chroma collection'), distinguishing it from sibling tools like chroma_delete_collection (which deletes entire collections) and chroma_update_documents (which modifies rather than removes documents). The verb+resource combination is precise and 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 implies usage through its parameter explanations and error conditions (e.g., 'If the collection does not exist'), but it does not explicitly state when to use this tool versus alternatives like chroma_delete_collection or chroma_update_documents. The context is clear but lacks direct comparative guidance.

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 full burden but offers minimal behavioral insight. It states the tool creates a new collection but doesn't disclose whether it copies documents/metadata from the source, requires specific permissions, has side effects on the original collection, or what happens if the new name already exists. This leaves critical behavioral traits undocumented for a mutation operation.

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 the core purpose in the first sentence, followed by a structured parameter list. It avoids unnecessary elaboration, though the parameter section could be more integrated with the main description. Every sentence adds value, but the formatting as a code-like block slightly disrupts flow.

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 (a mutation with 2+ parameters), lack of annotations, and no output schema, the description is incomplete. It misses behavioral details like what 'fork' entails (e.g., copying data), error conditions, and return values. For a tool that modifies system state, this leaves significant gaps for an AI agent to operate safely and effectively.

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 schema provides only basic typing. The description adds meaningful context by explaining that 'collection_name' is the source and 'new_collection_name' is the target, and mentions an optional 'metadata' parameter not in the schema. However, it doesn't fully compensate for the coverage gap—e.g., no details on metadata structure or name 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 the verb ('Fork') and resource ('a Chroma collection'), making the purpose immediately understandable. It distinguishes from siblings like 'chroma_create_collection' by specifying it creates a copy from an existing collection rather than a new empty one. However, it doesn't explicitly contrast with all siblings like 'chroma_modify_collection'.

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 doesn't mention prerequisites (e.g., the source collection must exist), when not to use it, or compare it to similar tools like 'chroma_create_collection' for creating new collections from scratch or 'chroma_modify_collection' for altering existing ones.

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 the tool is a read operation ('Get'), but doesn't cover error handling (e.g., if collection doesn't exist), performance aspects, or return format. For a tool with zero annotation coverage, this leaves significant gaps in understanding its 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 appropriately sized and front-loaded: the first sentence states the purpose clearly, followed by a brief parameter explanation. There's no wasted text, but the structure could be slightly improved by integrating parameter details more seamlessly rather than a separate 'Args:' section.

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 (single parameter, no output schema, no annotations), the description is minimally adequate. It covers the basic purpose and parameter meaning, but lacks details on usage context, behavioral traits, or output expectations. For a simple read tool, this is acceptable but not comprehensive.

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 meaningful context for the single parameter: 'collection_name: Name of the collection to count.' Since schema description coverage is 0%, this compensates by explaining what the parameter represents. However, it doesn't provide additional details like format constraints or examples, keeping it from a perfect score.

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: 'Get the number of documents in a Chroma collection.' It specifies the verb ('Get') and resource ('number of documents'), making it easy to understand. However, it doesn't explicitly differentiate from sibling tools like 'chroma_get_collection_info' or 'chroma_peek_collection', which might also provide collection metadata.

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 doesn't mention prerequisites (e.g., collection must exist), exclusions, or compare it to siblings like 'chroma_get_collection_info' that might offer similar or overlapping functionality. Usage is implied but not explicitly 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the action but doesn't cover important traits like whether this is a read-only operation, what specific information is returned (e.g., metadata, count, settings), error conditions, or performance implications. This leaves significant gaps for an agent to understand the tool's 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 appropriately sized and front-loaded with the main purpose in the first sentence, followed by parameter details. There's no wasted text, though it could be slightly more structured (e.g., using bullet points).

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 interacting with a database collection and the lack of annotations and output schema, the description is incomplete. It doesn't explain what information is returned (e.g., metadata, statistics) or how errors are handled, which is critical for an agent to use this tool effectively in context with its 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?

The description adds meaningful context for the single parameter by specifying 'Name of the collection to get info about', which clarifies its role beyond the schema's basic title 'Collection Name'. Since schema description coverage is 0%, this compensates well, though it doesn't detail format constraints or examples.

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 'Get information about' and the resource 'a Chroma collection', making the purpose specific and understandable. However, it doesn't explicitly differentiate from sibling tools like 'chroma_peek_collection' or 'chroma_list_collections', which might provide overlapping functionality.

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 'chroma_peek_collection' or 'chroma_list_collections'. It lacks context about prerequisites, such as whether the collection must exist, or any exclusions for 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 provided, the description carries the full burden of behavioral disclosure. It effectively describes the tool's read-only nature through the verb 'Get' and details filtering capabilities, but it doesn't cover aspects like error handling, performance implications of complex filters, or pagination behavior beyond limit/offset parameters. The return format is mentioned but not elaborated.

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 purpose statement, organized parameter explanations, and a returns section. While comprehensive, it's slightly verbose due to extensive examples for 'where' and 'where_document', but every sentence earns its place by clarifying complex filtering syntax that isn't obvious from parameter names alone.

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 tool with 7 parameters, 0% schema coverage, no annotations, and no output schema, the description does an excellent job of explaining parameter semantics and the return format. It covers the core functionality thoroughly, though it could be more complete by addressing behavioral aspects like error cases or performance limits, which are important given the complexity of filtering options.

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?

Given 0% schema description coverage, the description compensates fully by providing detailed semantics for all 7 parameters. It explains each parameter's purpose (e.g., 'where: Optional metadata filters'), includes syntax examples for complex parameters like 'where' and 'where_document', and clarifies defaults (e.g., 'include' defaults to documents and metadatas). 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 the tool's purpose with a specific verb ('Get documents') and resource ('from a Chroma collection'), distinguishing it from siblings like chroma_query_documents (which likely searches semantically) and chroma_peek_collection (which might preview without filtering). The phrase 'with optional filtering' further clarifies its retrieval nature.

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 through the mention of 'optional filtering' and the detailed parameter examples, suggesting it's for retrieving documents with specific criteria. However, it lacks explicit guidance on when to use this tool versus alternatives like chroma_query_documents or chroma_peek_collection, leaving the agent to infer based on parameter names.

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 discloses key behavioral traits: pagination support, handling of empty databases (returns ['__NO_COLLECTIONS_FOUND__']), and that it lists names only. However, it does not mention rate limits, authentication needs, or error conditions, leaving some gaps.

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 appropriately sized and front-loaded: the first sentence states the core purpose, followed by structured sections for Args and Returns. Every sentence earns its place by providing essential information without 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, no output schema, and 2 parameters with 0% schema coverage, the description is largely complete: it explains purpose, parameters, and return behavior. However, it lacks details on error handling or performance characteristics, which could be relevant for a database 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 description coverage is 0%, so the description must compensate. It fully explains both parameters (limit and offset) with clear semantics beyond the schema, including their optional nature and purpose (maximum number to return, number to skip). This adds significant value over 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 specific action ('List all collection names') and resource ('in the Chroma database'), distinguishing it from siblings like chroma_get_collection_info or chroma_peek_collection. It explicitly mentions pagination support, which adds precision beyond just listing.

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 retrieving collection names with pagination, but does not explicitly state when to use this tool versus alternatives like chroma_get_collection_count or chroma_get_collection_info. It provides clear context but lacks explicit exclusions or named alternatives.

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 states the tool modifies collection attributes, implying mutation, but lacks critical behavioral details: whether changes are reversible, required permissions, error conditions (e.g., if collection doesn't exist), or side effects. This is inadequate for a mutation tool with zero annotation coverage.

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 appropriately sized and front-loaded: the first sentence states the purpose clearly, followed by a concise parameter list. There's no wasted text, and the structure is logical. However, the parameter explanations are minimal and could be more informative without sacrificing 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 the complexity (mutation tool with 3 parameters), lack of annotations, and no output schema, the description is incomplete. It covers basic purpose and parameters but misses behavioral context (e.g., effects, errors), usage guidelines, and output details. For a tool that modifies data, this leaves significant gaps for an AI 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?

Schema description coverage is 0%, so the description must compensate. It lists all three parameters with brief explanations ('Name of the collection to modify', 'Optional new name', 'Optional new metadata'), adding basic meaning beyond the schema's titles. However, it doesn't elaborate on metadata format, name constraints, or interaction between parameters, leaving gaps in understanding.

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: 'Modify a Chroma collection's name or metadata.' It specifies the verb ('modify') and resource ('Chroma collection'), and indicates what can be modified. However, it doesn't explicitly differentiate from sibling tools like 'chroma_update_documents' or 'chroma_fork_collection', which might also involve modifications.

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 doesn't mention prerequisites (e.g., collection must exist), exclusions (e.g., cannot modify certain attributes), or comparisons to siblings like 'chroma_fork_collection' or 'chroma_update_documents'. Usage is implied only by the tool name and purpose.

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 full burden but offers minimal behavioral insight. It mentions 'peek' which suggests a read-only, non-destructive operation, but doesn't clarify permissions, rate limits, or what 'peek' entails (e.g., returns metadata, snippets, or full documents). For a tool with zero annotation coverage, this leaves significant gaps in understanding its 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 appropriately sized and front-loaded with the core purpose in the first sentence, followed by parameter explanations. It avoids unnecessary details, but the parameter section could be integrated more seamlessly. Overall, it's efficient with minimal waste.

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, no annotations, and no output schema, the description is moderately complete. It covers the basic purpose and parameters but lacks details on behavior, output format, or error handling. For a read operation in a context with multiple sibling tools, more guidance on use cases and results 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 description adds meaningful context beyond the input schema, which has 0% description coverage. It explains that 'collection_name' is for the collection to peek into and 'limit' controls the number of documents, clarifying their roles. With 2 parameters and low schema coverage, this compensates well, though it doesn't detail format constraints or default behavior for 'limit'.

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 with the verb 'peek at' and resource 'documents in a Chroma collection'. It distinguishes from siblings like chroma_get_documents or chroma_query_documents by implying a lightweight, non-querying inspection, though not explicitly named. However, it doesn't fully differentiate from chroma_get_collection_info which might also provide collection insights.

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 is provided. The description implies a quick look at documents, but it doesn't specify scenarios like previewing content, checking data quality, or comparing to chroma_get_documents for full retrieval. Without context on use cases or exclusions, the agent must 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?

With no annotations provided, the description carries full burden and does well by explaining the tool's filtering behavior, return format (documents, metadatas, distances), and default values. However, it doesn't mention performance characteristics, rate limits, or authentication requirements that would be helpful for a query 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 well-structured with a clear purpose statement followed by organized parameter explanations. While comprehensive, some examples could be more concise. Every sentence adds value, and the information is front-loaded with the core purpose first.

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 query tool with 6 parameters, 0% schema coverage, and no output schema, the description provides excellent parameter documentation and behavioral context. The main gap is the lack of output format details beyond the 'include' parameter explanation, which would be helpful given no 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?

Given 0% schema description coverage, the description compensates excellently by providing detailed explanations for all 6 parameters, including comprehensive examples for complex parameters (where and where_document), default values, and clear explanations of what each parameter controls.

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 with specific verb ('Query documents') and resource ('from a Chroma collection'), distinguishing it from siblings like chroma_get_documents or chroma_peek_collection by emphasizing 'advanced filtering' capabilities.

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 through the mention of 'advanced filtering' and parameter explanations, but doesn't explicitly state when to use this tool versus alternatives like chroma_get_documents or chroma_peek_collection. No explicit when-not-to-use guidance or sibling tool comparisons 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 provided, the description carries the full burden and does well by disclosing key behaviors: it's a mutation tool (implied by 'Update'), specifies error conditions (raises ValueError for invalid inputs, Exception for failures), and describes the return value (confirmation message). It could improve by mentioning side effects like overwriting existing data or performance implications.

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 clear sections (Args, Returns, Raises) and front-loaded purpose. It's appropriately sized for a 5-parameter tool, though some sentences could be more concise (e.g., the Raises section is verbose). Overall, it efficiently conveys necessary information without 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 complexity (5 parameters, no annotations, no output schema), the description is mostly complete: it covers parameters, errors, and returns. However, it lacks details on the update mechanism (e.g., partial vs. full updates) and doesn't reference sibling tools for context, leaving minor gaps in full agent guidance.

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 significant meaning beyond the input schema, which has 0% description coverage. It explains each parameter's purpose (e.g., 'ids: List of document IDs to update'), constraints (e.g., 'Must match length of ids if provided'), and relationships between parameters. This fully compensates 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 action ('Update documents') and resource ('in a Chroma collection'), making the purpose immediately understandable. It distinguishes from siblings like 'chroma_add_documents' (adds new) and 'chroma_delete_documents' (removes), though not explicitly named. However, it doesn't fully differentiate from 'chroma_modify_collection' which might overlap in functionality.

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 through the parameter documentation (e.g., 'ids' are required, update lists must match length), suggesting when to use it for updating existing documents. However, it lacks explicit guidance on when to choose this tool over alternatives like 'chroma_modify_collection' or 'chroma_add_documents', and doesn't mention prerequisites such as collection existence.

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