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Glama

Read a web page

crawl
Read-only

Extract the readable title and full text from a public URL supplied by the user or returned by search.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesPublic HTTP or HTTPS URL to retrieve

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, and destructiveHint, so the safety profile is covered. The description adds useful behavioral detail by specifying that it extracts the readable title and full text, and clarifies the URL must be public. This goes beyond the annotations without contradicting them.

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?

A single, tightly written sentence that conveys the tool's purpose, input source, and output scope. Every phrase earns its place, and the core behavior is front-loaded.

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?

For a simple, one-parameter, read-only tool with annotations and an output schema present, the description covers what the tool does, what it extracts, and where the URL comes from. Nothing essential is missing for an agent to select and invoke it correctly.

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 coverage is 100% and the single url parameter is already described as 'Public HTTP or HTTPS URL to retrieve'. The description reinforces the source of the URL but does not add significant new semantics beyond what the schema already provides. Baseline 3 is appropriate.

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?

States a specific verb ('Extract') and resource ('readable title and full text') from a public URL, making the tool's function immediately clear. It also distinguishes itself from search-related siblings by focusing on retrieving a specific existing URL rather than discovering pages.

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

Usage Guidelines4/5

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

The description gives clear context: use this when a public URL is already available, either supplied by the user or returned by search. It does not explicitly name alternatives or state when not to use it, but the scope is understandable without additional guidance.

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

A4.1/5.0
Disambiguation3/5

Search and news both return current web content, so an agent may struggle to choose between them for a news-related query. Search and trending also overlap on popularity/current interest, though crawl and sitemap are clearly distinct.

Naming Consistency4/5

All tool names are single lowercase words, giving a clean and uniform style. The set mixes verbs (crawl, search), nouns (news, sitemap), and a gerund (trending), so it is not perfectly pattern-based but remains predictable.

Tool Count5/5

Five tools is an appropriate size for a search and information retrieval server. Each tool covers a meaningful retrieval need and none feel redundant or unnecessary.

Completeness5/5

The set covers general search, news search, full-page extraction, site discovery, and trending queries, forming a coherent research workflow. Search results can be passed to crawl for deeper retrieval, so there are no obvious dead ends.