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Crawlora MCP

usmagazine_headlines

Read-only

Current Us Weekly headlines for one public section; section must come from usmagazine_sections.

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": "usmagazine_headlines"
  }
}

Input Schema

NameRequiredDescriptionDefault
sectionYesUs Weekly RSS section slug. Documented values: celebrity-news, entertainment, sports, shopping, crime-news, stylish, celebrity-moms, celebrity-body, food, reviews, reality-tv, royal-family.

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: +"Us Weekly RSS section slug. Documented values: celebrity-news, entertainment, sports, shopping, crime-news, stylish, celebrity-moms, celebrity-body, food, reviews, reality-tv, royal-family."
  2. First observed

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint and openWorldHint, so the safety profile is covered and the output schema handles return shape. The description adds that only one section at a time is returned and that results are 'current' (recency), which is useful scoping context but not deep behavioral detail such as pagination or result limits.

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?

A single sentence with no filler: the resource, the scope, and the prerequisite are all front-loaded. Every clause earns its place.

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 covering returns and annotations covering read-only/open-world behavior, the description only needed to cover scope and input sourcing, which it does. Missing only a brief note on ordering, volume, or freshness guarantees.

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 lists all twelve valid slugs, so the baseline is 3. The description adds value beyond the schema by telling the agent the value must be sourced from usmagazine_sections rather than invented, which is a real constraint the schema does not express.

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?

States a specific verb+resource ('Current Us Weekly headlines') plus a scope constraint ('for one public section'), which separates it from the article/author tools. It does not explicitly differentiate itself from usmagazine_news, so sibling routing relies on the agent inferring the headlines-vs-news distinction.

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

Usage Guidelines4/5

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

Explicitly states the prerequisite: 'section must come from usmagazine_sections,' which routes the agent to the correct sibling before calling this tool. It gives no when-not condition (e.g. when to prefer usmagazine_news instead), but the dependency guidance is concrete.

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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