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Crawlora MCP

fortune_sections

Read-only

Fortune public editorial or RSS sections accepted by fortune_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

A3.7/5.0
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 externally. The description adds the useful constraint that returned sections are the set accepted by fortune_headlines, but says nothing about ordering, whether results are stable, or whether these are slugs vs display names.

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, front-loaded sentence with no filler. It is arguably terse to the point of being cryptic for a catalog tool, but nothing is wasted.

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?

With an output schema present, return-value details are already covered, and the tool is zero-parameter with a full annotation set. The description only needs to say what the resource is and how it is consumed, which it does.

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 no parameters (0 required, schema coverage 100% with additionalProperties false), so there is no parameter semantics to document. The baseline for a zero-parameter tool applies.

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 states a specific resource ('Fortune public editorial or RSS sections') and links it to the consuming tool fortune_headlines, so an agent knows it enumerates the section identifiers that tool accepts. It stops short of using an explicit verb like 'list/return', but the noun phrase plus the 'accepted by fortune_headlines' clause disambiguates it from siblings like fortune_headlines or fortune_news.

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?

The phrase 'accepted by fortune_headlines' implies the intended workflow: call this to discover valid section values before querying headlines. However, there is no explicit when-to-use/when-not guidance and no mention of alternatives, so the routing signal is inferred rather than stated.

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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