extract_metadata
Extract page metadata: title, description, Open Graph, Twitter cards, JSON-LD, canonical URL, and all meta tags.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes |
Extract page metadata: title, description, Open Graph, Twitter cards, JSON-LD, canonical URL, and all meta tags.
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
There are no behavioral annotations beyond the title. The description does not disclose that the tool likely makes an HTTP request, how it handles errors, whether authentication is required, or what the response structure looks like. Since no annotations cover safety or side effects, the description carries the full burden and does not sufficiently address it.
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 a single, front-loaded sentence with no filler. Every word adds value, and it efficiently lists the metadata types without redundancy.
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 is simple with one parameter and no output schema, so the description gives a reasonable overview of what is extracted. However, it does not explain the return format, potential limitations (e.g., dynamic content), or whether the tool fetches the page itself. These gaps reduce its completeness.
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?
Schema description coverage is 0%, and the description does not mention the 'url' parameter at all. While the parameter name is self-explanatory, the description offers no additional semantics such as expected URL format, requirements, or constraints. The description fails to compensate for the lack of schema documentation.
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 clearly states the tool extracts page metadata and enumerates specific items (title, description, Open Graph, Twitter cards, JSON-LD, canonical URL, and all meta tags). This distinguishes it from siblings like scrape_webpage and extract_structured_data by focusing on metadata rather than content or structured data.
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?
Usage is implied through the verb 'extract' and the resource 'page metadata', but there is no explicit guidance on when to choose this tool over siblings like extract_structured_data or scrape_webpage. No direct alternatives or exclusions are mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool has a clearly distinct purpose: session creation, metadata extraction, structured data extraction, multi-step workflows, general scraping, and screenshots. Despite some conceptual overlap between extract_* and scrape_webpage, the descriptions make the boundaries clear.
All tool names follow a consistent verb_noun pattern (create_browser_session, extract_metadata, extract_structured_data, run_workflow, scrape_webpage, screenshot_webpage). The style is uniform with lowercase and underscores throughout.
Six tools is well-scoped for a web scraping server. Each tool covers a distinct capability without unnecessary redundancy, and the count feels right for the domain.
The tool set provides comprehensive coverage for scraping workflows: stateless scraping, stateful sessions, metadata extraction, AI-powered structured extraction, multi-step automation, and screenshots. There are no obvious missing operations that would hinder typical scraping tasks.