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page_metadata

Get a web page's metadata without its text: title, description, preview image, favicon, language, canonical URL, author and dates, Open Graph and Twitter card tags, RSS/Atom feed links, and its schema.org structured data (JSON-LD: products with prices and ratings, articles, recipes, events, organizations). Price: $0.001 USDC (x402).

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "url": "<url>"
    },
    "name": "page_metadata"
  }
}

Input Schema

NameRequiredDescriptionDefault
urlYesPublic http(s) web page

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.2/5.0
Behavior4/5

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

No annotations are provided, so the description carries the full burden and does disclose two things structured fields cannot: the tool returns metadata only (no body text) and it costs $0.001 USDC via x402. It does not cover failure modes for non-HTML or unreachable URLs, redirect handling, or caching, which is a real remaining gap for a paid network call.

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?

One dense sentence, front-loaded with the core purpose and exclusion before the field enumeration. The long middle list is informative rather than padded, though the parenthetical JSON-LD examples slightly bloat an otherwise tight line.

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

Completeness5/5

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 must describe return values itself — and it does so thoroughly, covering standard meta, social cards, feed links, and schema.org types. With the single-parameter schema and disclosed pricing, an agent has everything needed to call it correctly.

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?

There is a single parameter and schema coverage is 100%, with the schema already stating "Public http(s) web page" and format: uri. The description adds nothing about the url argument beyond that, so baseline 3 applies.

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

Purpose5/5

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

States a specific verb and resource ("Get a web page's metadata") and immediately narrows scope with "without its text," which separates it from read_page and read_rendered_page. The enumerated fields (title, OG tags, JSON-LD, feed links) make the output surface unmistakable.

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

Usage Guidelines4/5

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

The phrase "without its text" implicitly routes agents to read_page/read_rendered_page when body content is needed, and the enumerated payload implies when this tool is the right pick. It never names a sibling explicitly or states exclusions, so routing is left partly to inference.

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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