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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is fully covered. The description adds nothing beyond that: it does not say how far back "recent" reaches, how many entries are returned, whether results are ordered, or how breaking changes are flagged.

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?

A single eight-word sentence with no filler and the key concept (breaking changes) front-loaded. It is efficient, though borderline under-specified rather than merely 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?

For a read-only, zero-required-parameter tool with full schema coverage and no output schema, the definition is close to sufficient. The remaining gap is the undefined recency window and result scope, which an agent would need in order to know whether this answers "what changed last week" questions.

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%, and both parameters (projectId default behavior, breakingOnly default false) are documented in the schema itself. The description's mention of "breaking changes" loosely echoes breakingOnly but adds no format or semantics beyond what the schema already states, so the baseline 3 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?

"Get recent API changes and breaking changes" gives a specific verb (get) and resource (API changelog), which is clearly distinct from the doc-lookup siblings like get_guide or search_docs. The only weakness is that "recent" is left undefined and no sibling is named, but the purpose is unmistakable.

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?

There is no statement of when to call this versus get_guide, search_docs, or get_endpoint, and no prerequisites or exclusions. The agent must infer that this is the tool for change/breaking-change questions rather than release documentation.

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 already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is covered by structured data. The description adds only that the returned content is 'full documentation' (i.e., comprehensive rather than a snippet), and says nothing about response size/format or what happens with an invalid slug. Given the annotation coverage, this is acceptable but thin.

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?

A single front-loaded sentence with zero filler and no wasted clauses. It is arguably too terse for the available sibling set, but nothing in it is redundant.

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 full annotation coverage and complete schema descriptions, the essentials are present. However, with no output schema, an agent still cannot tell whether the response is structured JSON or prose documentation, nor how large it may be — a modest gap for a docs-retrieval 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 100%, including a clear note that projectId defaults to the server's project and should only be passed to target another one. The description adds no detail about the slug format or where slugs come from, so it neither helps nor hurts beyond the schema 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?

States a specific verb and resource: fetch full documentation for one API endpoint, keyed by slug. The word 'specific' implicitly contrasts with the sibling list_endpoints, but the description never names that sibling or any other, so differentiation is only partial.

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?

Usage is only implied: an agent can infer it should call list_endpoints first to obtain a slug and then use this tool for the full write-up. There is no explicit when-to-use, when-not, or statement of how this differs from search_docs, get_guide, or get_sdk_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?

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint=false, so the safety profile is fully covered. The description adds only that the entire document is returned rather than an excerpt, with no mention of size, truncation, or response shape for potentially long guides.

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?

A single front-loaded sentence with no filler, and the parenthetical clarification is well placed. It is efficient but leaves obvious space unused for distinguishing siblings.

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 one-required-parameter read with rich annotations and complete schema coverage, this is largely sufficient. The only shortfall is that agents get no hint about document size or output format for large guides.

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 slug, groupSlug, and projectId are already documented, including the fallback behavior for groupSlug and the project default. The description only echoes that retrieval is keyed by slug, adding nothing the schema does not already say.

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?

States a specific verb and resource ("Get the full content of a written guide") and disambiguates the resource with the parenthetical "tutorial / conceptual doc", which separates it from endpoint/SDK siblings. It does not explicitly contrast with search_docs, so retrieval-vs-search must be inferred.

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?

Usage is only implied: the schema's "from list_endpoints" hints at a discover-then-fetch flow, and the description's "full content" implies search_docs returns partial matches. There is no explicit statement of when to use this instead of search_docs or get_endpoint.

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 already declare it as a safe, read-only, idempotent, open-world lookup, so the safety profile is covered. The description adds useful context the annotations do not: the two distinct output shapes (ready-to-use code samples per language vs. a one-line-per-endpoint index), which matters since there is no output schema.

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?

Three compact sentences, front-loaded with the purpose, then the two modes in a clean parallel structure. Nothing is redundant and every clause carries 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?

With no output schema, the description carries the burden of explaining returns and does so for both modes. The only omission is `projectId` behavior, which the schema already covers adequately.

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 100%, so the baseline is 3; each parameter is already documented in the schema. The description adds marginal value by naming where `slug` comes from (list_endpoints, search_docs) and giving language examples, but it largely restates the schema's own guidance.

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?

States a specific verb and resource — 'Show how to call this API through its generated SDKs' — and immediately splits the behavior into two named modes (with slug vs. without). It does not explicitly contrast itself with the sibling list_sdks or get_endpoint, but the description of each mode is concrete enough to distinguish it in practice.

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?

Gives clear conditions: pass `slug` (sourced from list_endpoints or search_docs) to get per-endpoint code, add `language` to narrow, omit `slug` to get the method index. That is near-complete when/when-not guidance, though it never mentions sibling tools like list_sdks as an alternative for browsing SDK availability.

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 already cover the safety profile (readOnly, idempotent, non-destructive), so the bar is lower. The description still adds real value by disclosing that the response shape changes with API size — sections with endpoint counts instead of a flat endpoint listing — which an agent could not infer from annotations or schema.

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, zero filler, with the primary listing behavior front-loaded and the size-dependent variant immediately after. Every clause carries 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 two-optional-parameter read tool with no output schema, the key gap — that the response may be a section index rather than an endpoint list — is covered. Minor omissions remain: no mention of ordering, and projectId's default-project behavior is left entirely to the schema.

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 100%, so both parameters are documented and the description need only supplement. It explains why `section` matters for large APIs, but its wording ('list one of them') sits slightly at odds with the schema's substring-filter phrasing ('sections whose name contains this text'), leaving the exact matching behavior fuzzy.

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?

States a specific verb and resource ('List the API's endpoints and guides') plus the grouping behavior. It implicitly separates itself from the single-resource sibling get_endpoint, but never names an alternative such as search_docs for keyword lookup.

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?

Usage is implied: browse to discover endpoints, and pass `section` to drill into a section when the API is large. There is no explicit when-not guidance or routing to search_docs/get_endpoint, and the phrase 'pass section to list one of them' leaves the drill-down effect to inference.

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 already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint, so the safety profile is covered elsewhere. The description adds useful context about the shape of the payload (languages, versions, download links), but says nothing about pagination, freshness, or whether results are filtered by project or API surface.

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?

One front-loaded sentence with the resource first and the returned fields in a compact parenthetical. Every clause carries information; nothing is redundant or padded.

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-only listing tool with one optional, fully documented parameter and rich annotations, this is nearly complete. Because there is no output schema, the parenthetical enumeration of returned fields usefully compensates, though it could note whether the list is project-scoped.

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 100% and the single optional projectId is fully documented in the schema, including its default-to-server-project behavior. The description adds no additional meaning about the parameter, so the baseline of 3 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?

The description gives a specific verb and resource ("List the available SDK client libraries for this API") and even names the fields returned (languages, versions, download links). It is naturally distinguishable from sibling get_sdk_methods, though it does not explicitly name any sibling to contrast against.

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?

Usage is only implied: an agent can infer this is the tool for enumerating SDKs, but the description never says when to prefer it over get_sdk_methods or whether prerequisites (auth, project scope) apply. No explicit when-not or alternative routing 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?

Annotations already declare readOnly, idempotent, non-destructive, and open-world behavior, so the safety profile is fully covered elsewhere. The description adds only that the searchable domain is API documentation and that it matches endpoints or concepts; it says nothing about ranking, result scope, or how results differ from list_endpoints output.

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?

A single front-loaded sentence with no wasted wording. It is efficient, though its brevity leaves no room for the routing guidance an agent would benefit from.

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-only, fully described 3-parameter tool with rich annotations and no output schema, the description is adequate but thin. It omits the main thing an agent would need: how this search relates to get_endpoint, list_endpoints, and get_guide.

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 100%, and the schema documents query as a natural-language string, limit with a default of 5, and projectId's default project behavior. The description adds no further meaning about query formulation or reasonable limit values, so the baseline 3 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?

"Search the API documentation for an endpoint or concept" names a specific verb (search) and resource (API documentation) plus what kinds of targets it matches. It is distinguishable from siblings like get_endpoint or list_endpoints, but the description never explicitly contrasts itself with them.

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?

Usage is only implied: an agent can infer that search is for locating an unknown endpoint or concept before calling get_endpoint. There is no explicit statement of when to prefer search over get_guide, list_endpoints, or get_sdk_methods, and no exclusions.

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