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Crawlora MCP

ign_article

Read-only

One public IGN article's metadata and body paragraphs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds that the article is 'public' (no auth needed) and that the payload includes body paragraphs, which is modest extra value; with an output schema present, return-shape detail is not required here.

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?

One short, front-loaded sentence with no filler. It is a noun phrase rather than a sentence, which reads slightly telegraphic but wastes nothing.

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 one-parameter read tool with an output schema and read-only annotations, the description covers the essentials, but it omits any note on the URL source or accepted URL form. Adequate yet with a clear input-side gap.

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?

The single required parameter is named 'url' with 0% schema description coverage, and the description never mentions it, its format, or that it must be an IGN article URL. The phrase 'IGN article' is the only implicit signal binding the input to the resource, which is thin compensation for the coverage gap.

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 names the resource precisely ('one public IGN article') and states what is returned ('metadata and body paragraphs'), which distinguishes it from ign_headlines/ign_news/ign_sections by scope. It stops short of an explicit verb like 'fetch', relying on the naming convention shared with sibling *_article tools.

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?

There is no guidance on when to use this versus ign_headlines, ign_news, or ign_sections, and no hint that the URL typically originates from one of those feed tools. The agent must infer the workflow entirely from the tool name.

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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