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 Definition Quality
Average 4.8/5 across 1 of 1 tools scored.
Only one tool exists, so there is no possibility of confusion or overlapping purposes. The tool's purpose is clearly defined and distinct.
With a single tool, the name follows a clear verb_noun pattern (extract_url_metadata). There are no conflicting conventions to evaluate.
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.
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 toolextract_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.
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes |
Tool Definition Quality
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.
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.
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.
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.
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.
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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