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

Annotations cover the safety profile (readOnlyHint, openWorldHint), and the description adds real behavioral context beyond them: the scoring scale, the checklist dimensions, the nature of the output, and the non-obvious rule that blocking bulk training crawlers is treated as a policy choice and does not lower the score. It stops short of stating rate limits, latency, or whether pages are cached, so it is strong but not exhaustive.

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?

It is a single dense sentence with a front-loaded purpose followed by a colon-separated output list, and every element (checks, fix list, crawler policy) carries information. It is longer than strictly necessary, but there is no filler or redundancy, which keeps it efficient rather than bloated.

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 present, the description correctly compensates by describing what comes back: score, grade, per-check pass/fail, and a prioritized fix list. Combined with the crawler-policy caveat, an agent knows what it will get and how to interpret it; only minor operational details (auth/public-URL requirements, limits) are absent.

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 coverage is 100% and the single 'url' parameter already carries a description with concrete examples of both domain and full-URL forms, so the burden is on the schema rather than the description. The description adds nothing about URL normalization, redirects, or whether the target must be publicly reachable at call time; baseline 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 verb-and-resource combination ('score how well AI assistants can find, read and cite a public web page') and enumerates the exact outputs produced (0-100 score, letter grade, pass/fail checks, prioritized fix list). It is immediately distinguishable from narrower siblings like check_ai_crawler_access or generate_ai_robots_txt, which cover only one slice of the audit.

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?

The scenario ('AI search / GEO / AEO audit' of a public web page) is clearly implied, which is enough for an agent to know when this fits. However, there is no explicit when-not guidance and no pointer to alternatives such as check_ai_crawler_access for robots.txt-only questions, so routing between the overlapping siblings is left to inference.

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