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Crawlora MCP

pcmag_sections

Read-only

PCMag public editorial or RSS sections accepted by pcmag_headlines.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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

A3.5/5.0
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 agent knows this is a safe read. The description adds the important scoping fact that the values feed pcmag_headlines, but says nothing about whether the list is static or live, or its size — minor gaps for a zero-arg lookup.

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?

A single tight phrase with no filler, front-loading the resource and its consumer. It is perhaps over-terse — a leading verb would cost nothing and add clarity.

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 zero-parameter enumeration tool with an output schema and read-only annotations, an agent knows enough to invoke it, but the description never states that it returns a list of section identifiers or how those values are shaped for pcmag_headlines.

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?

The tool takes zero parameters, which is the baseline-4 case; there is nothing for the description to clarify beyond confirming the no-argument nature implicitly.

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 phrase names the resource (PCMag public editorial/RSS sections) and pins it to its consumer, pcmag_headlines, which lets an agent distinguish it from pcmag_article/pcmag_news. However, it is a noun fragment with no verb — it never explicitly says 'list' or 'returns the sections' — so it falls short of a full verb+resource statement.

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?

'accepted by pcmag_headlines' implies the use case is discovering valid section values for that tool, which is useful routing context. But there is no explicit when-to-use or when-not-to-use statement, and alternatives (pcmag_news, pcmag_article) are not mentioned.

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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