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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false; the description adds crucial context beyond this: the $0.05 cost, deterministic non-LLM behavior, and what is returned (x402 payment requirements and URL). It also points to get_audit_sample for the output format, which is excellent transparency for a paid tool.

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?

Front-loaded with cost and purpose, followed by a compact enumeration of checks, then determinism and return info. No filler; every phrase provides actionable detail for an agent deciding whether and how to call it.

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 the tool's complexity, the definition covers cost, scope, checks performed, return values (payment requirements and URL), and explicitly directs to get_audit_sample for output format. With no output schema, this is sufficient for correct invocation.

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% and the sole parameter's description already specifies valid inputs (domain or http(s) URL, public hosts, ports 80/443). The tool description adds little beyond that, so the baseline score of 3 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?

States a specific verb (audits) and resource (public website or x402 API) for AI-agent readiness, and enumerates the exact checks performed. This clearly distinguishes it from the market-data siblings and from get_audit_sample, which is explicitly named as a format reference.

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?

Provides clear context: use for auditing a public website or x402 API. The 'paid endpoint ($0.05)' note is a key usage consideration. It does not explicitly state exclusions or when to choose an alternative, but the scope ('public hosts, ports 80/443' in schema) implicitly excludes private/internal sites.

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