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

Annotations already declare readOnly, idempotent, open-world, non-destructive, so the safety profile is covered. The description adds genuinely non-obvious behavior: results flagged as 'leads to verify' when they depend on what a visitor sees, a $0.05 USDC x402 charge on eip155:8453, and that failures are not billed. This is meaningful operational context beyond the annotations, though it omits latency/blocked-page detection specifics.

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?

A single dense paragraph that front-loads the action and scope, then the evidence categories, then the caveat and billing. Almost every clause earns its place; the x402/eip155 technical string is slightly heavy for a description but conveys real cost semantics.

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, yet the description states the return form (a ranked fix list with evidence), the audit dimensions covered, the reliability caveat, and the cost/failure billing rules. An agent has everything needed to decide, call, and interpret the result.

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?

Only one parameter and schema description coverage is 100%; the schema already specifies 'Bare domain, no scheme or path, e.g. mailchimp.com'. The description says 'business website domain' but adds no format or normalization detail beyond the schema, so 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?

Names a specific verb and resource ('audits its home page in a real browser') and enumerates exactly what is inspected: analytics/tag-manager tags, consent manager and load-before-consent behavior, structured data, AI-crawler access, and SEO basics. It also states the output shape ('ranked fix list with evidence'), so an agent knows what it gets without opening anything else.

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 input framing ('Given a business website domain'), and the exclusion 'not charged if the page cannot be audited' hints at the failure path. However, it never names the overlapping sibling ai_crawler_access or states when to prefer this full audit over the narrower tools, leaving the agent to infer the routing.

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