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

Annotations cover the safety profile, and the description adds substantial context beyond them: required X-Audit-Token header, configured hostname allowlist, the ~five-page sampling limit, the fact that TypeSafe Jev is invoked and can incur usage charges, and the identity of returned artifacts (Markdown + structured JSON with evidence and unverified topics).

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?

Purpose is front-loaded, then constraints, then outputs and exclusions. Every sentence carries distinct information (auth, allowlist, sampling cap, cost, non-capabilities) with no 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?

Given a rich output schema and full annotations, the description supplies exactly what remains: prerequisites (token, allowlist), side effects (cost), and boundaries (no JS/auth/forms/certification). Nothing an agent needs to invoke it correctly 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 description coverage is 100%, so all three parameters are already fully documented in the schema. The description's mention of sampled pages and optional text submission loosely maps to maxPages and includeJev but adds no syntax or constraint detail beyond the schema, so the 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?

States a specific verb+resource ('fetch an operator-approved public site and report against every current spec topic') with the analysis scope made concrete via sampling, HTTP checks, and optional semantic checks. It is instantly distinguishable from the all-retrieval siblings (get_*, list_topics, search).

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?

Gives clear context for when the tool applies (operator-approved public site, spec-topic reporting) and enumerates exclusions (no JS execution, no target auth, no form submission). It does not explicitly name a sibling alternative or decision rule for choosing it over them, so it stops short of a full 5.

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