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

Annotations already declare read-only, idempotent, non-destructive and closed-world behavior, so the safety profile is covered. The description adds real substance beyond that: it discloses that results are scoped to the latest measurement, that each competitor comes with answer and question counts, and that the project's own numbers appear alongside — meaningful return-shape context given no output schema exists. It does not say how many competitors are returned or how ties/ranking are handled.

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 sentence, front-loaded with the returned resource and then the qualifiers, with no filler. It is dense but every clause carries information; a slight split into scope and return-shape sentences would read more easily.

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 burden of explaining what comes back, and it does so at a useful level: competitor names, answer and question counts, and the project's own figures. For a single-optional-parameter read tool with full annotation coverage this is close to complete, missing only result size or ordering behavior.

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 project_id parameter is documented there, including the optional-when-one-project rule. The description only indirectly references project scope via 'the project's own numbers' and adds no syntax, format, or defaulting detail beyond the schema, so the baseline of 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 (the other businesses assistants name most often) and a precise scope (same zone and category, latest measurement), so an agent can distinguish it from get_mentions or get_questions on content alone. It stops short of explicitly naming which sibling to use instead, so it is clear but not fully differentiated.

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 phrase 'for the same zone and category in the latest measurement' signals when the data is relevant, but there is no statement of when to prefer this over get_mentions or get_questions, and no exclusions or prerequisites. An agent must infer the choice from the resource alone.

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