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

Read-only and open-world behavior is already declared in annotations, so the description's job is to add context, and it does: it tells the agent exactly which content fields come back (prompt, requirements, risks, caveat, repo url) in the absence of an output schema. It stops short of noting error behavior for an unknown id or any freshness/source caveats.

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 compact sentence with the subject front-loaded and the returned payload listed in a scannable comma series. It is a sentence fragment, but every item named is informative and nothing is repeated.

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 one-parameter read tool with annotations covering safety and no output schema, the description gives the agent enough to know what it will get back. The missing piece is the relationship to search_use_cases as the id source, which the description leaves 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?

With only one parameter and 100% schema description coverage, the schema already explains the id format and its origin in search_use_cases. The description adds no further meaning about the id, 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?

The description names the resource ('One use case') and enumerates what it contains (who it is for, steps, prompt, requirements, risks, caveat, repo url), which makes the singular-detail nature distinguishable from the sibling search_use_cases. It is a noun phrase rather than an explicit verb+resource, and it does not name the sibling to contrast with, keeping it short of a 5.

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 search_use_cases or the other siblings; the agent must infer that this is the detail lookup for an id obtained from search. The only routing hint ('Use case id from search_use_cases') lives in the schema's parameter description, not the tool description.

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