Skip to main content
Glama
mukul975
by mukul975

get_page_metadata

Extract meta tags, title, description, and keywords from web pages to analyze content structure and SEO elements.

Instructions

Extract meta tags, title, description, keywords from web pages

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesThe URL to extract metadata from
useCacheNoWhether to use cached content if available (default: true)
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions what gets extracted but doesn't cover important aspects like rate limits, authentication needs, error handling, or whether the tool performs web requests (implied but not stated). The description is functional but lacks operational context.

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 a single, efficient sentence that clearly states the tool's function without any wasted words. It's appropriately sized for a straightforward extraction tool and gets directly to the point.

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 relatively simple read operation with good schema coverage but no output schema or annotations, the description is minimally adequate. It explains what the tool does but lacks context about performance characteristics, limitations, or relationship to sibling tools. The absence of output schema means users must infer what the return format looks like.

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?

Schema description coverage is 100%, so the schema already documents both parameters thoroughly. The description doesn't add any parameter-specific information beyond what's in the schema. This meets the baseline expectation when schema coverage is complete.

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

Purpose4/5

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

The description clearly states the tool's purpose with specific verbs ('extract') and resources ('meta tags, title, description, keywords from web pages'). It distinguishes itself from siblings like 'extract_content' or 'extract_text_only' by focusing specifically on metadata extraction, though it doesn't explicitly mention this differentiation.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives like 'extract_content' or 'extract_structured_data'. There's no mention of prerequisites, constraints, or typical use cases beyond the basic function.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/mukul975/mcp-web-scrape'

If you have feedback or need assistance with the MCP directory API, please join our Discord server