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

Annotations already cover read-only/idempotent/open-world behavior, so the bar is lower, yet the description adds real value: it discloses the read-only inputs (page, robots.txt, llms.txt, sitemap), that findings cite public specs with read dates, and a 10-minute caching window. It stops short of describing output shape or failure modes on unreachable pages.

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 in the first sentence, and the long enumeration of checks is dense but largely earns its place by telling the agent what the report contains. It is a single sprawling sentence-list with some items that could be compressed, keeping it just below ideal.

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 must carry the return value, and it does so by enumerating the findings it reports and noting the 10-minute cache. It is nearly complete for a complex audit tool, with only the concrete response format left unstated.

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 both url and the detail enum are already fully documented with examples and defaults. The description adds no additional meaning about the parameters (e.g., how detail interacts with caching), 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 and resource ('Audit one public web page') and enumerates precisely what it inspects, so an agent knows exactly what the tool produces. It does not, however, distinguish itself from siblings like validate_structured_data and check_entity_consistency, whose checks it clearly subsumes.

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 the scoped framing ('one public web page') and the composite nature of the audit, but there is no explicit when-to-use, when-not-to-use, or routing to the sibling tools. An agent must infer that this is the broad audit rather than a targeted check.

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