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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint=false and destructiveHint=false, so safety and determinism are covered. The description adds useful context the annotations do not: results are tied to 'the latest measurement' (a snapshot rather than live data) and are scoped to a zone and category. It does not disclose how zone/category are resolved, any rate limits, or pagination behavior.

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?

One dense sentence with the resource front-loaded and no filler. It is longer than strictly necessary but every clause (competitor set, scope, counts, comparison baseline) contributes information.

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 carries the return-value burden and does so reasonably: competitor names, per-competitor answer and question counts, and the project's own numbers for comparison. Combined with annotations covering the safety profile and a fully documented single parameter, this is nearly complete, though it never explains what defines the 'zone and category' or the meaning of 'latest measurement'.

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?

There is a single optional project_id parameter with 100% schema description coverage (including the 'optional when the account has exactly one project' rule), so the schema does the heavy lifting. The description adds nothing about the parameter, making the baseline 3 appropriate.

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 specific resource it returns (other businesses named most often by assistants) and the comparison scope (same zone and category, latest measurement, alongside the project's own numbers). It is easily distinguished from sibling get_mentions because it aggregates competitors and includes per-competitor answer/question counts. It lacks an explicit verb, but the resource and scope are unambiguous.

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 or when-not-to-use guidance and no routing to alternatives such as get_mentions or get_questions, which return related raw data. The only usage signal is implicit: the phrase 'for the same zone and category in the latest measurement' hints at the context in which results are meaningful.

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