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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and a closed world, so the safety profile is fully covered. The description adds behavioral value only by explaining the returned structure, notably the is_you marker identifying the caller's own project — useful but modest beyond the annotations.

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 scope ('for each measured question') front-loaded and zero filler. It is efficient, though the run-on clause structure takes slight re-reading to parse.

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-shape burden and does so adequately: per-question grouping, named/unnamed assistants, alternative businesses, and the is_you marker. Pagination or response format are not covered, but for a simple read-only lookup this is close to complete.

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%, so the single project_id parameter is fully documented in the schema, including its optionality and the list_projects source. The description adds no additional parameter meaning, making the baseline 3 appropriate when the schema does the work.

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 gives a concrete verb-and-resource picture: per measured question, which assistants name the business vs. which do not, plus competitor names, with the caller's project flagged by is_you. An agent can understand what it returns. However, it never names the sibling get_competitors, so the boundary between this and the competitor-listing tool must be inferred from wording alone.

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 explicit when-to-use, when-not-to-use, or alternative tool named. The phrase 'for each measured question' faintly implies the project needs measured questions, but an agent gets no routing guidance among get_competitors, get_questions, or get_pages.

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