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Crawlora MCP

by net.crawlora
OverviewDiscussionsAdmin

wired_headlines

Read-only

Fetch current public RSS story cards for one WIRED section, including summary, author, time, and lead image. Use wired_sections to discover sections or wired_news for the general feed.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "section": "<section>"
    },
    "name": "wired_headlines"
  }
}

Input Schema

NameRequiredDescriptionDefault
sectionYesWIRED section slug from /wired/sections. Documented values: business, culture, gear, politics, science, security.

Output 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. Changed1 schema field changed
    • addedInput schema / properties / section / description
      Added value: +"WIRED section slug from /wired/sections. Documented values: business, culture, gear, politics, science, security."
  2. First observed

TDQS

A4.5/5.0
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 safe-read profile is covered. The description adds only that the source is a 'current public RSS' feed and lists card fields that the output schema already exposes. It offers no auth, rate-limit, or pagination context, so it is adequate but not rich.

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, front-loaded with the purpose and followed by the routing hint. Every clause earns its place with no redundancy or filler.

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?

An output schema exists, so return values need no explanation, and annotations cover the safety profile. Purpose, content scope, and sibling routing are all present; nothing needed to call the tool correctly is missing.

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?

Schema coverage is 100% and the schema already documents the section slug plus its valid values, so baseline is 3. The description still adds value by framing the parameter as exactly 'one WIRED section' and pointing to wired_sections as the way to obtain valid values, which aids correct parameterization.

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?

States a specific verb ('Fetch') and resource ('current public RSS story cards for one WIRED section') and even enumerates the payload fields (summary, author, time, lead image). It explicitly distinguishes itself from wired_sections and wired_news, so an agent can route without opening any schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Names both alternatives directly: wired_sections for discovering section values and wired_news for the general feed. The when-to-use condition (one section vs. general feed vs. discovery) is fully explicit, leaving nothing to inference.

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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