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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety profile is covered. The description adds real operational context beyond that: it requires FrontStat Pro, requires a dashboard token as a Bearer token, and is scoped to the domain on the subscription.

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?

Three tight sentences ordered output-shape first, then use case, then requirements and scope. Every sentence carries distinct information with no repetition of the title or annotations.

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 correctly describes the returned data (daily points with score and recommendation count), plus auth, plan gating, and scope. It leaves minor gaps such as error behavior on a missing/invalid token or the exact timezone/refresh cadence of the 30-day window.

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 are zero input parameters, so there is no schema meaning to add; the baseline for a parameterless tool applies. The description still clarifies that authentication (Bearer dashboard token) and scope (subscription domain) are implicit inputs, which is useful even though no schema field exists.

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?

States a specific verb/resource and the exact output shape: one point per day for 30 days, containing the visibility score and the count of answers recommending the product. This clearly separates it from the sibling get_visibility (snapshot) without needing the schema.

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?

"Use it to see whether your changes moved the assistants" gives a concrete when-to-use condition tied to trend analysis. It does not explicitly name or exclude the sibling get_visibility, so it falls short of full alternative routing.

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