navi_page_context

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

Given no annotations, the description adds substantial behavioral context: it discloses the paid nature ($0.005 USDC per call), the structured response shape with specific fields (links_summary, boolean signals, next actions), and special handling for GitHub/GitLab pages. It does not cover error behavior or rate limits, but the extra context is significant.

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 concise and front-loaded with the core value proposition ('Production-grade web page intelligence'), then enumerates key features compactly. The pricing sentence is useful but the 'Clean v2 response shape' is vague and adds little. Overall, it earns its length.

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 one parameter and no output schema, the description does a good job of conveying what the response will contain: an analysis block, repo information, link taxonomy, links_summary, next actions, and 16+ boolean signals. It also mentions the cost. It could be more precise about the exact response schema, but it's adequate for 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% with a clear parameter description for 'url'. The tool description does not add any parameter-specific semantics beyond what the schema already provides (e.g., it mentions GitHub/GitLab pages in the output, but that's about the response, not the parameter). Baseline 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?

The description clearly indicates it provides web page intelligence with a structured analysis block, listing specific output components like repo sub-object and link taxonomy. However, it lacks an explicit verb (e.g., 'analyze' or 'extract') and does not distinguish it from the sibling navi_web_intelligence, making the purpose clear but not fully distinct.

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 does not provide any guidance on when to use this tool over alternatives. It states 'for AI agents' but does not mention when this deep page analysis is preferred over a lightweight preview (navi_url_preview) or broader intelligence (navi_web_intelligence).

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