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

No annotations are provided, so the description carries the full behavioral burden. It usefully discloses the output fields and the payment requirement ('Price $0.04 USDC on Base via x402'), but it omits constraints such as URL accessibility, JavaScript rendering, rate limits, or error behavior.

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?

Two tightly written sentences with zero waste. The core extraction purpose and output fields are front-loaded, followed by the pricing detail.

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?

With no output schema, the description appropriately enumerates the return fields (title, meta/OpenGraph, JSON-LD, headings, links, tables, emails, Markdown body) and states the cost. It is largely complete for a simple one-parameter extraction tool, though it could mention error or URL constraint behavior.

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 0% for the single required 'url' parameter. The description only implies that the URL points to a web page, adding no format, validation, or constraint details beyond the schema's type.

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 and resource: 'Structured JSON extraction from a web page,' and enumerates the extracted fields. It is clear what the tool does, but it does not explicitly differentiate itself from siblings like web_markdown or web_crawl.

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 no guidance on when to use this tool versus alternatives such as web_markdown or web_crawl. The purpose implies structured extraction, but there are no explicit when/when-not conditions or named alternatives.

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