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

Annotations already cover read-only, idempotent, non-destructive, and closed-world behavior. The description adds return content (French official names from RPPS/Ameli, English labels, doctor counts) and cost ('Free'), which is useful but does not address pagination, output format, or other behavioral traits.

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 compact sentence followed by 'Free.' Every word contributes, and the resource is front-loaded. The fragment structure slightly weakens clarity compared to a full verb-led sentence.

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 zero-parameter listing tool with rich annotations but no output schema, the description adequately states what is returned and that it is free. It could mention exhaustiveness or typical use, but it is sufficient to invoke the tool 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?

The tool takes zero parameters, so the baseline is 4 and the description does not need to explain any parameter semantics. The schema is empty with 100% coverage, as expected.

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 identifies the specific resource (specialty names with doctor counts) and distinguishes it from sibling tools like search_doctors or get_doctor. However, it is a noun phrase without an explicit verb, so the action is inferred from the tool name rather than stated outright.

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 when-to-use guidance is provided. The word 'Free' hints at cost but does not explain when to call this tool versus alternatives, and no context or exclusions are given.

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