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wxs-lang

webscout-mcp

by wxs-lang

metadata_extract

Extract structured metadata from any URL, including JSON-LD, OpenGraph, Twitter Cards, article metadata, images, and links.

Instructions

Extract metadata from a web page.

Extracts JSON-LD, OpenGraph, Twitter Cards, article metadata, images, links, and other structured metadata from the page.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Addedv0.6.0

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations provided, the description must carry the full behavioral burden. It clearly states what data is extracted, but it does not disclose operational traits such as network fetching behavior, caching, failure modes, or whether only static HTML is processed.

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

Conciseness5/5

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

The description is two short, purposeful sentences. The first is a concise one-line summary, and the second adds a useful enumeration of what is extracted, with no filler or repetition.

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

Completeness3/5

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

For a single-parameter tool with an output schema, the core invocation is mostly covered. However, the description lacks usage boundary guidance relative to sibling tools and does not mention operational limitations, leaving some selection and invocation context incomplete.

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

Parameters2/5

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

The schema has 0% description coverage, and the description only says 'from a web page' without adding details about URL format, allowed schemes, encoding, or required forms. The parameter name 'url' is self-explanatory, but the description does not meaningfully compensate for the schema's silence.

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?

The description opens with a clear verb-object statement, 'Extract metadata from a web page', and then enumerates the specific metadata types returned, including JSON-LD, OpenGraph, Twitter Cards, images, and links. This makes the tool's purpose precise and readily distinguishable from sibling tools like web_extract or web_fetch.

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

Usage Guidelines3/5

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

No explicit when-to-use or when-not-to-use guidance is given, and no alternatives are mentioned. The specialized vocabulary implies this is for structured metadata extraction, but an agent receives no direct cue about how to choose between metadata_extract, web_extract, and web_fetch.

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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