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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the trailing 'Read-only' adds nothing. The genuinely useful addition is the disclaimer that CrewButton does not judge prices and that the tool only counts candidate businesses plus a comparison checklist, which sets expectations about what the output is not. Beyond that, no permission, coverage, or rate-limit behavior is disclosed.

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?

It is a single dense sentence that front-loads the audience ('For a homeowner who...') rather than the action, and the colon-clause construction buries the actual operation mid-sentence. Nothing is redundant, but the structure could surface the verb and scope in the first few words.

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 rich annotations, 100% schema coverage, and an output schema that carries return values, the description only needs to explain intent and expectation-setting, which it does: it clarifies that this is a count-and-checklist rather than a price verdict. Adequate for a 2-parameter read tool.

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%, with both zip and trade documented including the 5-digit pattern, the trade enum, and the Handyman fallback guidance. The description only restates 'US ZIP code' and 'same job', adding no format or selection detail beyond the schema, 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 states a specific action and resource: it counts other local businesses near a US ZIP code that can take the same job, and lists what to check when comparing quotes. It is distinguishable from find_local_pros (a listing) by the 'count' framing, though the roundabout phrasing ('CrewButton does not judge prices: this tool counts...') makes the agent work harder than necessary to extract the verb.

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?

It names the triggering scenario precisely: a homeowner who already has a price and wants to know if it is fair. That is a clear when-to-use condition. It never names find_local_pros or what_to_tell_a_pro as alternatives or states when-not to use it, so routing between siblings still requires inference.

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