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Crawlora MCP

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gamesradar_sections

Retrieve GamesRadar+ editorial sections to get the taxonomy for filtering headlines by category. Returns clean JSON of section names.

Instructions

Get GamesRadar+ sections. Returns the public GamesRadar+ editorial taxonomy used by the headlines endpoint.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.17.5

TDQS

A4.2/5.0
Behavior3/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It notes the taxonomy is 'public' (implying no auth barrier) and ties it to the headlines endpoint, but it does not describe the response format, ordering, pagination, or caching behavior. This is minimal but adequate for a simple read-only list tool.

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?

Two sentences with zero waste. The core action is front-loaded in the first sentence, and the second sentence adds one useful piece of relational context without repeating anything from the schema.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the low complexity (no parameters, no output schema), the description tells an agent what it returns and how that output relates to the headlines endpoint, which is enough to decide to call it and understand the result's purpose. It stops short of describing the exact return shape, but that is not a significant gap for this endpoint.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There are zero parameters, so the schema has nothing to document and the baseline is 4. The description appropriately adds no parameter details, and no compensation is needed.

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?

The description opens with 'Get GamesRadar+ sections,' a specific verb plus resource, and immediately clarifies the exact deliverable: 'the public GamesRadar+ editorial taxonomy used by the headlines endpoint.' This distinguishes it from sibling tools like gamesradar_headlines and pcgamer_sections, which an agent might otherwise conflate with it.

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 phrase 'used by the headlines endpoint' gives clear context: this tool supplies valid section values that feed into gamesradar_headlines. It does not explicitly name an alternative or state when not to use it, but for a zero-parameter list endpoint the usage context is clear enough.

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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