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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The description adds genuine value beyond that by disclosing the shape of the result — procedure ids and an online-booking visibility flag — which the agent could not know from the annotations alone. Pagination and auth behavior remain unstated.

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 compact sentences with zero filler, front-loading the resource and its returned fields before the endpoint path. Nothing 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?

There is no output schema, so the description must carry the return-value burden, and it does so briefly and adequately for a simple list endpoint. The only shortfall is the absence of usage guidance about when this list is the right source versus related procedure lookups.

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 the single unit_id parameter is already fully documented in the schema (0 = main clinic, omit for all units, cross-reference to feegow_list_units). The description adds nothing about parameters, so 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 a specific resource (medical specialties) and states what the payload contains (default consultation procedure ids, online-booking flag), so the agent knows exactly what it gets. It does not contrast itself with neighboring lookups such as feegow_list_procedures or feegow_list_procedure_types, so the sibling differentiation is missing.

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 when-to-use statement, no mention of the optional unit_id scoping decision, and no pointer to alternatives. Only the raw endpoint path ('GET /specialties/list') hints at context, leaving selection entirely to inference.

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