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 but only states the basic action. It doesn't mention authentication requirements, rate limits, what happens when creation fails, whether this is a mutating operation, or what the response contains. For a creation tool with zero annotation coverage, this is inadequate.

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, efficient sentence with zero wasted words. It's appropriately sized for a straightforward creation operation and front-loads the essential 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 creation tool with no annotations and no output schema, the description is insufficient. It doesn't explain what happens after creation, what gets returned, authentication requirements, or error conditions. Given the complexity of creating GitHub gists with multiple parameters, more context 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 100%, so the schema already documents all three parameters thoroughly. The description adds no additional parameter information beyond what's in the schema. Baseline 3 is appropriate when the schema does the heavy lifting for parameter documentation.

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') and resource ('new GitHub Gist'), making the purpose immediately understandable. However, it doesn't differentiate this tool from its sibling 'gist_update' which also creates/modifies gists, though 'create' vs 'update' provides some implicit distinction.

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 about when to use this tool versus alternatives like 'gist_update' or 'gist_list'. There's no mention of prerequisites, authentication requirements, or typical use cases for creating versus updating gists.

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 tool deletes a Gist, implying a destructive mutation, but doesn't cover critical aspects like whether deletion is permanent, requires authentication, has side effects (e.g., on starred status), or returns confirmation. 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 a single, direct sentence with zero waste. It is front-loaded with the core action and resource, making it highly efficient and easy to parse. Every word 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?

Given the tool's complexity as a destructive operation with no annotations and no output schema, the description is incomplete. It fails to address key contextual elements like authentication needs, irreversible effects, error conditions, or what happens upon success. This leaves the agent under-informed for safe and effective use.

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 100%, with the single parameter 'gistId' documented as 'The Gist ID to delete'. The description adds no additional meaning beyond this, such as format examples or constraints. The baseline score of 3 reflects adequate but minimal value added over 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 ('Delete') and target resource ('a Gist by ID'), making the purpose unambiguous. It distinguishes itself from siblings like gist_get or gist_update by specifying deletion, though it doesn't explicitly contrast with similar destructive operations like gist_unstar.

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 lacks context about prerequisites (e.g., ownership or permissions), when deletion is appropriate, or what happens after deletion. It doesn't reference sibling tools for related actions.

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 discloses that the tool retrieves file contents, which is useful behavioral context. However, it doesn't mention authentication needs, rate limits, error handling, or response format, leaving gaps for a read 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 a single, efficient sentence that front-loads the core purpose ('Get a specific Gist by ID') and adds a clarifying detail ('includes file contents') without any waste. It's appropriately sized for 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?

For a simple read tool with 1 parameter and no output schema, the description is adequate but incomplete. It covers the purpose and key behavior (includes contents), but lacks details on authentication, errors, or return structure, which could help the agent use it correctly.

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 100%, with the parameter 'gistId' fully documented in the schema. The description adds no additional parameter details beyond what the schema provides, so it meets the baseline of 3 without compensating or adding 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 ('Get') and resource ('a specific Gist by ID'), specifying that it includes file contents. It distinguishes from siblings like gist_list (which lists multiple) and gist_create/update/delete (which modify).

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 when you need a specific Gist by its ID, including its contents. It doesn't explicitly state when not to use it or name alternatives, but the context is clear given the sibling tools (e.g., use gist_list for listing, not this).

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. 'List your GitHub Gists' implies a read-only operation but doesn't specify authentication requirements, rate limits, pagination behavior beyond what's in the schema, or what 'your' means in terms of user context. This leaves significant behavioral questions unanswered.

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 perfectly concise at just three words, front-loading the essential information with zero wasted language. Every word earns its place by specifying the action, resource ownership, and resource type.

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 listing tool with 2 well-documented parameters and no output schema, the description is minimally adequate. However, it doesn't address key contextual elements like authentication scope ('your' gists vs all gists), sorting/filtering capabilities, or what information is returned about each gist, leaving gaps 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?

The description adds no parameter information beyond what's already in the schema, which has 100% coverage with clear descriptions for both 'perPage' and 'page'. The baseline score of 3 reflects adequate schema documentation, though the description doesn't enhance understanding of parameter usage or relationships.

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 'List your GitHub Gists' clearly states the action (list) and resource (GitHub Gists), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'gist_starred' or 'gist_get' which also retrieve gist information, leaving some ambiguity about scope.

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 siblings like 'gist_starred' (lists starred gists) and 'gist_get' (gets a specific gist), there's no indication of when this general listing tool is preferred over more specific retrieval methods.

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 ('Star') but doesn't reveal if this is a mutation (likely yes), requires authentication, has rate limits, or what the outcome is (e.g., success confirmation, error handling). 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 extremely concise at three words, front-loading the core action without any wasted text. It efficiently communicates the tool's purpose in minimal space, earning full marks for brevity and 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?

For a mutation tool with no annotations and no output schema, the description is incomplete. It lacks details on behavioral traits (e.g., authentication needs, side effects), usage context, and expected outcomes. Given the complexity of a write operation and the absence of structured data, more explanatory content is needed to adequately guide 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 input schema has 100% description coverage, with 'gistId' clearly documented as 'The Gist ID to star'. The description adds no additional parameter information beyond what the schema provides, such as format examples or constraints. Given the high schema coverage, the baseline score of 3 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 'Star a Gist' clearly states the action (star) and resource (Gist), making the purpose immediately understandable. However, it doesn't differentiate from its sibling 'gist_unstar' beyond the opposite action, nor does it specify what 'starring' entails (e.g., bookmarking, favoriting).

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 'gist_starred' (which likely lists starred gists) or 'gist_unstar'. The description implies usage for starring a specific Gist, but lacks context about prerequisites (e.g., authentication, existing Gist) or exclusions (e.g., cannot star own Gist).

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 implies a read-only operation ('List') but doesn't specify authentication requirements, rate limits, pagination behavior beyond parameters, or what the return format looks like. For a tool with zero annotation coverage, this leaves critical behavioral traits undocumented, though it doesn't contradict any annotations.

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, efficient sentence that front-loads the core purpose without unnecessary words. It avoids redundancy and wastes no space, making it easy to parse quickly. This is an excellent example of conciseness in tool descriptions.

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 (listing with pagination), lack of annotations, and no output schema, the description is minimally adequate but incomplete. It covers the basic purpose but misses behavioral details like authentication, return format, and error handling. The schema handles parameters well, but overall context is insufficient for a fully informed agent without additional cues.

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 100% description coverage, with clear documentation for both 'perPage' and 'page' parameters. The description adds no additional parameter semantics beyond what the schema provides, such as default behavior or usage context. Given the high schema coverage, a baseline score of 3 is appropriate, as the schema adequately handles parameter documentation.

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 ('List') and resource ('your starred Gists'), making the tool's purpose immediately understandable. It distinguishes itself from siblings like 'gist_list' by specifying 'starred' gists, though it doesn't explicitly contrast with 'gist_get' which retrieves a single gist. The description is specific but could be more precise about sibling differentiation.

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 'gist_list' (for all gists) or 'gist_get' (for a specific gist). It lacks context about prerequisites (e.g., authentication needs) or exclusions, leaving the agent to infer usage from the name alone. This minimal guidance is insufficient for optimal tool 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 of behavioral disclosure. It states the action ('Unstar') but doesn't explain what happens (e.g., removes from user's starred list, requires authentication, potential side effects, or response format). This is a significant gap 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 extremely concise ('Unstar a Gist') with no wasted words, making it front-loaded and easy to parse. Every word earns its place, though this brevity contributes to gaps in other dimensions.

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 a mutation tool (unstarring implies a state change) with no annotations and no output schema, the description is incomplete. It doesn't cover behavioral aspects like authentication needs, error conditions, or what 'unstar' entails, leaving the agent with insufficient context for reliable use.

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 100%, with the single parameter 'gistId' documented as 'The Gist ID to unstar'. The description doesn't add any meaning beyond this (e.g., format examples or constraints), so it meets the baseline of 3 where the schema does the heavy lifting.

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 'Unstar a Gist' clearly states the action (unstar) and target resource (a Gist), which is adequate for understanding the basic purpose. However, it lacks specificity about what 'unstar' means operationally (e.g., removing from starred list) and doesn't differentiate from sibling tools like 'gist_star' or 'gist_starred', making it somewhat vague.

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. It doesn't mention prerequisites (e.g., the Gist must be starred first), exclusions, or relationships with siblings like 'gist_star' (for starring) or 'gist_starred' (for listing starred Gists), leaving usage context unclear.

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 provides minimal behavioral context. It implies mutation ('Update') but doesn't disclose permissions needed, rate limits, whether updates are reversible, or what happens to unspecified fields. This is inadequate for a mutation tool without annotation support.

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, efficient sentence with zero waste—it directly states the tool's purpose without unnecessary words, making it appropriately sized 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?

For a mutation tool with no annotations and no output schema, the description is incomplete. It lacks details on behavioral traits (e.g., auth needs, side effects), usage context, and return values, leaving significant gaps for an AI agent to understand how to invoke it correctly.

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 100%, so the schema already documents all parameters (gistId, description, files). The description adds marginal value by mentioning 'description or file contents', which aligns with the schema but doesn't provide additional syntax or format details beyond it.

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') and resource ('an existing Gist'), specifying what can be updated ('description or file contents'). It distinguishes from siblings like gist_create (create) and gist_delete (delete), but doesn't explicitly contrast with gist_get (read) or gist_star (starring).

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 is provided. It doesn't mention prerequisites (e.g., needing an existing Gist ID), exclusions (e.g., not for creating new Gists), or direct comparisons to siblings like gist_create for initial setup or gist_get for read-only access.

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