nymrel_ucp_audit

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

No annotations are provided, so the description must carry full disclosure. It states the tool audits structural layers and can take either URL or HTML, which discloses its primary mode of operation. However, it does not mention whether it performs network fetches, how strictMode affects behavior (beyond a threshold), or any read/write safety implications. Since annotations are absent, this is a moderate gap but not a contradiction.

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 sentence that front-loads the core purpose (audits URL/HTML for readiness) and lists the layers concisely. It is efficient without fluff, earning a solid 4. Could be slightly more structured with separation of the URL vs HTML option, but overall it is well-organized.

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?

For a tool with three simple parameters, high schema coverage, and no output schema, the description is fairly complete: it tells the agent what it audits, what inputs it accepts, and the layers involved. It lacks information on output format or error conditions, but given the tool's simplicity and the presence of 100% schema coverage, this is acceptable. Some might argue a 3, but the clarity of the tool's purpose and inputs pushes it to 4.

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%, and parameter descriptions are self-explanatory (URL, HTML optional, strictMode default false). The description adds context by explaining the audit covers 7 structural layers, which gives meaning to the tool's purpose but doesn't elaborate on parameter syntax or dependencies. Baseline of 3 is appropriate given high 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 explicitly states the tool audits URLs or HTML for AI Agent Commerce Readiness across 7 structural layers with examples. This is a clear verb-resource-purpose statement that differentiates it from siblings like nymrel_proof_verify or nymrel_beacon_ping, which likely focus on other aspects. The mention of commerce readiness and specific layers (JSON-LD, x402, /llms.txt, robots.txt, AP2) provides a distinctive scope.

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 implies when to use this tool: whenever an agent needs to assess a website's or HTML snippet's commerce readiness. It clearly states it can audit either a URL or raw HTML, which guides input selection. However, it does not explicitly say when NOT to use it or mention alternatives like nymrel_surety_guard for trust or nymrel_proof_verify for proofs, so it misses explicit exclusions.

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