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

Annotations only cover readOnlyHint and openWorldHint, but the description adds substantial context beyond them: a 30-90 second runtime, an async 'running' status with a required follow-up call, per-hour rate limits (5 new / 20 with key), 24-hour result caching, auth via Bearer header, and the paid/free tiering at report_url. These are exactly the operational traits an agent needs and none of them are in the structured fields.

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 front-loaded with purpose and outputs, then usage, then operational behavior, and every sentence carries load (limits, caching, pricing, async). It is dense and slightly long, but the length is justified by the amount of distinct operational information rather than padding.

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?

There is no output schema, so the description carries the full burden of describing return values, and it does so in detail (score, sub-scores, issues, fixes, AI-readiness). It also covers async handling, rate limits, caching, auth, and pricing, leaving nothing an agent needs to invoke and follow up on the 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?

There is a single required 'url' parameter and schema description coverage is 100%, so the schema already documents it fully (full URL, examples). The description adds no syntax or constraint detail beyond the schema, so the baseline of 3 for a fully-covered single param is appropriate.

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 states a specific verb and resource (loads a public landing page in a real browser and audits it for conversions) and enumerates the exact outputs: a 0-100 score, seven named sub-scores, top 3 issues, working elements, and an AI-readiness score. It also names the sibling it hands off to (get_audit_result) when status is 'running', so it is distinguishable from both siblings without opening a schema.

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?

It gives explicit positive triggers (feedback on why a homepage/landing/pricing page does not convert, a second opinion before launch, competitor comparison) and explicit exclusions (pages behind a login, non-HTML files, general SEO keyword research). The async fallback to get_audit_result is also spelled out with its trigger condition.

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