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

Goes well beyond the readOnlyHint/openWorldHint annotations: it discloses the crawl identity used (OAI-SearchBot, Claude-SearchBot, PerplexityBot), what it detects (robots.txt, CDN and firewall blocks, no-JS content), how scoring works, expected runtime, and the shape of the returned fix pack. That is exactly the methodology/runtime disclosure an agent needs to decide whether to spend the latency.

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?

Dense but front-loaded: purpose, then mechanism, then return value, then runtime. Every clause carries information (crawler names, block types, fix pack contents) rather than filler.

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?

No output schema exists, so the description compensates by enumerating the return (score, each check's result, prioritized fix pack with codebase location and verification command). Combined with annotations covering the read-only/open-world profile and a single fully documented parameter, nothing material is missing.

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% for the single url parameter and the schema already supplies an example, so the baseline is 3. The description contributes a minor scope constraint ('one public web page'), implying private/authenticated URLs are out of scope, but no additional syntax or format detail.

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 (audit) and resource (one public web page) plus the exact target surfaces: Google, AI Overviews, ChatGPT, Claude and Perplexity. It is unambiguous what the tool does, but it never names or contrasts with the sibling get_report, so sibling differentiation is left to inference.

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 implied by 'Audit one public web page for visibility' and the cost hint 'Takes 10–30 seconds,' which tells an agent this is a heavyweight single-page call. However, there is no explicit when-to-use/when-not framing and no mention of get_report as the alternative for retrieving existing results.

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