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Glama

url-metadata-api

Server Details

Given a URL, returns title/description/preview-image/site_name from its OpenGraph/meta tags.

Status
Healthy
Last Tested
Transport
Streamable HTTP
URL
Repository
nexus-mcp-infra/url-metadata-api
GitHub Stars
0
Server Listing
url-metadata-api

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Tool DescriptionsA

Average 4.8/5 across 1 of 1 tools scored.

Server CoherenceA
Disambiguation5/5

Only one tool exists, so there is no possibility of confusion or overlapping purposes. The tool's purpose is clearly defined and distinct.

Naming Consistency5/5

With a single tool, the name follows a clear verb_noun pattern (extract_url_metadata). There are no conflicting conventions to evaluate.

Tool Count3/5

A single tool feels thin for a server, even a focused metadata API. One tool is borderline acceptable, but the server offers no additional capabilities or fallback options.

Completeness5/5

The tool fully covers its stated domain: extracting standard OpenGraph/meta metadata from HTML pages. It explicitly documents limitations (auth, non-HTML), so there are no hidden gaps within its intended scope.

Available Tools

1 tool
extract_url_metadataAInspect

Fetch a URL and return its title, description, preview image, and site name, scraped from OpenGraph/meta tags -- the same data a chat app uses to render a link preview card. Rejects non-http(s) URLs and URLs resolving to private/internal addresses. Do NOT use for URLs that require authentication or return non-HTML content (PDFs, images, JSON APIs) -- this tool only parses HTML metadata.

ParametersJSON Schema
NameRequiredDescriptionDefault
urlYes
Behavior4/5

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

This tool has no annotations, so the description must carry the behavioral disclosure. It does: it mentions rejecting non-http(s) URLs and URLs that resolve to private/internal addresses, and notes it parses only HTML <head> metadata. Those are key behavioral traits. A slight gap is that it does not mention failure behavior (e.g., errors, empty metadata, redirects), but enough is provided for safe use.

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 three succinct sentences moving from purpose to limitations and exclusions. Every sentence is loaded (information-dense) and no words are wasted. It is front-loaded with the operation and output.

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?

The tool has a single parameter, no siblings, no annotations, and no output schema. The description covers the core behavior, expected input, output fields, and exclusion criteria. That is fully self-sufficient for an agent to use it correctly.

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

Parameters5/5

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

The schema has a single parameter with no description (0% coverage), so the description must compensate. It does: it eventually tells the agent that the URL parameter must be http(s), not private/internal, and must point to HTML content. This is far beyond a bare type/string definition.

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 uses a specific verb ('Fetch') and resource ('a URL'), and clearly states the output: 'title, description, preview image, and site name' scraped from OpenGraph/meta tags. This precisely identifies the tool's function with no ambiguity.

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

Usage Guidelines5/5

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

The description gives explicit when-not-to-use guidance: 'Do NOT use for URLs that require authentication or return non-HTML content (PDFs, images, JSON APIs)'. It also explains that the tool only parses HTML <head> metadata, which helps an agent decide when to select it.

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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