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

Annotations are absent, and the description does not clarify whether the tool makes external calls or is purely static analysis. While the schema notes that URLs are 'reference only' and 'does not fetch', this is not in the description. The description implies an audit without stating side effects (read-only), which is a gap for a tool that likely performs analysis on provided data.

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?

The description is a single concise sentence that front-loads the purpose and lists audit dimensions efficiently. It does not waste words. The sentence is slightly long but remains readable and information-dense.

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 7 parameters and no output schema, the description covers the main audit categories but omits how the result is presented or what 'readiness' means (boolean, score, report?). It also does not clarify the role of parameters like expected_price or route_metadata. The combination of low schema coverage and no output schema leaves ambiguity, so 3 is appropriate.

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 low (43%), but the description explicitly lists the audit dimensions: discovery metadata, price visibility, USDC terms, seller wallet, receipt language, tool descriptions, and approval copy. These map to parameters like expected_price, seller_address, and route_metadata, adding context beyond the bare schema. However, it does not explain how 'agent_json' or 'resource_url' are used, so it only partially compensates for the low schema coverage.

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 clearly states the tool's purpose: 'Audit whether a paid x402 route is ready for agent buyers.' It enumerates the specific checks (discovery metadata, price visibility, Base USDC terms, etc.), which distinguishes it from sibling tools like x402_rank_audit. The scope is clear and the verb is specific, though it doesn't explicitly differentiate from all related x402 tools.

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?

The description provides no guidance on when to use this tool or prerequisites. It does not explain what inputs are required or typical scenarios (e.g., 'Use this before listing a paid agent route'). No mention of expected inputs or output usage, leaving the agent to infer from the parameter names.

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