navi_web_intelligence

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

No annotations are provided, so the description carries the full burden. It discloses the paid nature with 'x402: $0.005 USDC per call', the use of 'Claude Haiku tool_use', and 'Zero-transform' processing. However, it does not mention failure modes, limitations (e.g., dynamic pages, paywalls), or rate limits. The cost and internal analysis dependency are valuable transparency beyond the schema.

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 dense yet efficient: each sentence conveys a distinct aspect (what it extracts, what AI analysis it generates, return signals, time-saving, and pricing). It is front-loaded with the core purpose and contains no filler. The parenthetical pricing note is compact and does not distract.

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?

The tool has one parameter, no annotations, and no output schema, so the description must explain return values. It enumerates key output categories (summary, entities, classification, boolean signals) and cost, which is sufficient for an agent to know what to expect. However, it does not specify the exact response structure or edge-case behaviors, leaving a minor gap in completeness.

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% – the single 'url' parameter is already described with an example in the schema. The description does not add further meaning to the parameter beyond the overall purpose. It reinforces that a URL is expected but provides no extra syntax, format, or edge-case guidance. This matches the baseline of 3 for 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 uses specific verbs and resources: 'Extracts OpenGraph + Twitter Card + Article metadata + JSON-LD structured data', 'Generates AI analysis', 'Returns 16+ boolean signals'. It clearly distinguishes from siblings by stating 'One call replaces 7 agent steps', implying it is a comprehensive analysis tool unlike simpler utilities.

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 usage context: for web page intelligence with summary, entities, and classification. It states 'One call replaces 7 agent steps', suggesting when to use it, but does not explicitly name alternatives or cover exclusions such as when to use navi_url_preview instead. No explicit when/when-not guidance is provided.

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