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Web page metadata ($0.005/call)

page_metadata
Read-only

Fetch a public web page and return its metadata: title, description, canonical URL, language, OpenGraph and Twitter card tags, icons and parsed JSON-LD blocks. Price: $0.005 USDC per call via x402 (USDC on Base or Solana, no account; nothing is charged for a bad input).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesPublic http(s) page to fetch
paymentNox402 payment: the base64 PAYMENT-SIGNATURE value (x402 v2 payment payload signed for one entry of the `accepts` list returned when this tool is called without it). Omit to get the price and payment requirements.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, so the safety profile is covered. The description adds genuinely non-redundant behavior: a per-call price, the x402/USDC payment channel, no account required, and that failed/bad inputs are not charged. It does not discuss rate limits, blocking on pages that refuse bots, or latency, which are relevant for an open-world fetch.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with the resource and payload, then the commercial terms. The long return-field list is informative rather than padding. Slightly dense but nothing wasted.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema exists, so the description compensates by enumerating the returned fields, and the payment flow is documented across the description and the `payment` schema entry. It stops short of covering failure modes (non-HTML targets, inaccessible pages) that matter for an open-world fetch.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, including the two-phase payment contract in the `payment` parameter, so the schema does the heavy lifting. The description adds pricing context but no extra syntax or semantics for `url` or `payment` beyond it. Baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description gives a specific verb ('Fetch a public web page') and enumerates the exact return payload (title, description, canonical URL, language, OpenGraph/Twitter tags, icons, JSON-LD). An agent immediately knows what it gets. It stops short of distinguishing itself from the sibling page_to_markdown, which operates on the same resource class.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use/when-not guidance and no mention of the obvious alternative, page_to_markdown, which also targets web pages. The only implicit usage note is that no account is required. An agent must infer from the return-field list whether this or page_to_markdown is the right call.

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

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