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Glama

get_page_metadata

Get metadata from a page: title, description, og tags, keywords. Returns: {title, description, keywords, og_title, og_image, og_type}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes

TDQS

B3.3/5.0
Behavior2/5

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

No annotations provided; description lacks behavioral details such as error handling, rate limits, or permissions. Only lists return fields.

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

Conciseness4/5

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

Short and front-loaded with purpose, but lacks structured formatting (e.g., bullet points).

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 simple one-parameter tool, covers basic return info but misses parameter details and behavioral context.

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?

Schema coverage is 0% with no description for the 'url' parameter; description does not add context (e.g., expected format, allowed schemes).

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?

Description explicitly states the tool gets metadata (title, description, og tags, keywords) and lists return fields, distinguishing it from siblings like extract_article or fetch_url_content.

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?

Usage is implied (when metadata is needed) but no explicit guidance on when not to use or comparisons to alternatives.

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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TDQS

B3.4/5.0
Disambiguation5/5

Each tool targets a distinct aspect: article extraction, general text, links, metadata, and health check. No overlap in functionality.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case (extract_article, fetch_url_content, get_page_links, get_page_metadata). health_check is a common exception but fits the naming style.

Tool Count5/5

Five tools is an appropriate scope for a web content extraction server, covering all essential operations without being excessive.

Completeness4/5

The toolset covers the main read operations for web content (article, text, links, metadata). Missing features like screenshot or HTML download are minor for the stated purpose.