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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so safety is covered. The description adds genuinely useful behavioral context beyond that: a Pro-tier auth requirement with the token passed as a Bearer token, and the data-scoping rule that the caller's own domain is excluded and results are limited to the subscription's domain. It does not mention pagination or result caps.

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?

Front-loaded with what is returned before any caveats, and the auth/scope constraints are compressed into the final two sentences. Slightly promotional phrasing ('These are the pages to get mentioned on') is the only sentence that does not strictly carry invocation 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 burden of describing the return payload and does so adequately (sites plus citation counts, own domain excluded). Auth and subscription scope are also disclosed. Missing only secondary details such as how many sites are returned or ordering, which are minor for a zero-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?

The tool takes zero parameters, so per the rubric the baseline is 4. The description correctly does not fabricate parameter semantics and instead spends its words on scope and return shape, which is the right allocation for a no-arg read.

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 concrete resource (sites cited by AI assistants when answering buyer questions) and specifies the payload precisely: each site plus how many answers cite it, with the caller's own domain excluded. That is enough to distinguish it from a generic visibility tool, but it never contrasts itself with siblings such as who_wins_instead or get_visibility, so an agent must infer the boundary.

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 via the framing 'These are the pages to get mentioned on', which hints at a link-building/PR use case. It states a prerequisite (needs FrontStat Pro, Bearer token) but gives no explicit when-to-use-vs-alternatives guidance and no exclusions relative to the sibling tools.

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