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Crawlora MCP

france24_sections

Read-only

France 24 public editorial or RSS sections accepted by france24_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

A3.6/5.0
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 and scope profile is covered. The description adds the useful behavioral fact that the returned values are the ones france24_headlines accepts, but says nothing about how many sections exist, whether they are slugs, names, or IDs, or how they change over time.

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 short clause with no filler, and the most important information (what the sections are and who consumes them) is front-loaded. It is a sentence fragment rather than a full statement, but nothing is wasted.

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?

With an output schema present, return values need no explanation, and with zero parameters there is no input burden. The only residual gap is that the description never clarifies the identifier format, which matters for chaining the result into france24_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, so there is nothing for the description to disambiguate; the baseline for a parameterless tool applies. No parameter-related information is missing.

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 a specific resource (France 24 public editorial or RSS sections) and ties it explicitly to a sibling tool by stating they are the sections 'accepted by france24_headlines.' An agent can tell this is a lookup/enumeration tool rather than a content fetcher, though it does not spell out the exact shape of what is returned.

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 only implied: the reference to france24_headlines suggests this is the tool to call first to discover valid section values. There is no explicit 'use this before X' or 'do not use for Y' statement, and no alternative tool is named for any other case.

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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