Read one documentation page

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint false, covering the safety profile. The description adds only the phrase 'in full', which hints at the completeness of the returned content. It does not disclose any other behavioral details such as error handling, pagination, or response format. Given the annotations cover the main safety aspects, a score of 3 is appropriate as the description adds minimal extra 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 sentence that packs all essential information: what it does, how to supply the input, and an example. It is front-loaded with the primary action and resource, with no fluff or redundancy. Every clause contributes to usability.

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 tool with one parameter and no output schema, the description is complete. It explains the purpose, the source of the slug, and provides examples. The safety profile is fully covered by annotations. There is no missing information an agent would need to invoke the tool correctly. The return value is implied by 'read in full' and does not require explicit specification given the absence of an output 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?

The schema already provides a description for the 'page' parameter, and the schema description coverage is 100%. The tool description goes beyond by giving concrete examples ('/documentation/mcp/' or 'mcp') and specifying the source of the slug (from search_asyntai_docs), which adds useful context and disambiguates the expected format. This is valuable beyond the schema alone.

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 'Read' and the resource 'one page of Asyntai's documentation in full'. It is specific about what is read and references the sibling tool search_asyntai_docs as the source of slugs, effectively distinguishing it from other get_* tools. The example further clarifies the expected input format.

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 clear usage context by specifying that the page is identified via a url or slug from search_asyntai_docs, implying a typical workflow of search-then-read. It does not explicitly exclude other usage or mention alternatives, but the reference to the search tool gives a strong hint of when this tool is appropriate. It lacks an explicit 'when not to use' statement, but the purpose is unambiguous.

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