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Crawlora MCP

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usmagazine_sections

Retrieve the list of Us Weekly RSS sections to identify valid categories for the headlines endpoint.

Instructions

Get Us Weekly RSS sections. Returns the public Us Weekly RSS section inventory 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

A3.8/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It notes the inventory is 'public' (implying read-only) but does not disclose any potential limitations, error conditions, output format, or whether the list is static or dynamic. As a simple getter, it is likely safe and idempotent, but this is not stated, leaving the agent without explicit reassurance about side effects or performance.

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, each contributing essential information: the action and the purpose/return content. No fluff, no repetition. The primary action is front-loaded, making it clear and efficient.

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?

For a low-complexity, no-parameter tool, the description adequately conveys what it does and its role in the headlines workflow. It could optionally describe the structure of the returned inventory, but given that the output schema is absent and the tool is trivial, the description is largely sufficient. Minor gap: no mention of possible failure modes or the need for prior setup.

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 has zero parameters, so the schema is trivially complete (100% coverage). Per the rubric, a baseline of 4 is appropriate for no-parameter tools; the description does not add parameter-specific information since none exist, but this is not a deficiency.

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 explicitly states the action ('Get Us Weekly RSS sections') and the resource (Us Weekly sections), and further clarifies its role as the inventory used by the headlines endpoint. This clearly distinguishes it from other sections tools for different publications and from sibling tools like usmagazine_headlines, making its purpose unambiguous.

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 description implies usage context by stating it is 'used by the headlines endpoint', but it does not explicitly mention when to use it versus alternatives, nor does it provide any exclusion criteria. While the name itself clarifies the publication, the absence of explicit guidance on when to select this tool instead of, say, newyorker_sections, leaves some ambiguity for an agent deciding among many section tools.

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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