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

Annotations already declare readOnlyHint, idempotentHint, non-destructive, and closed-world, so the safety profile is covered structurally. The description adds valuable scope detail — the counts are of *published* specialists only, and a data-freshness field is returned — but says nothing about cost, caching, or timestamp format despite being the sole carrier of that information.

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 sentence that front-loads the verb and enumerates exactly what is returned, with zero filler or redundant restatement of the name.

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 does the necessary work of naming the return values (specialist/place/category counts plus last-changed). It falls just short of complete because the shape and type of the freshness value (timestamp vs relative age) is unspecified.

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 there is no parameter semantics to convey; the baseline for a parameterless tool applies. Nothing in the schema is left undocumented.

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?

A specific verb ('Get the number of') plus a precise resource set (published garage specialists, places, categories, plus last-changed timestamp), which implicitly separates it from the list_* siblings that return entities rather than counts. It never names a sibling explicitly, so differentiation is by inference rather than stated.

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 use of counts and freshness metadata suggests calling this instead of enumerating items, but there is no explicit when-to-use, when-not-to-use, or named alternative (e.g. list_places or list_categories). An agent must infer the routing rule from the wording alone.

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