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vanityfair_news

Read-only

Fetch Vanity Fair top stories from the public feed; returns headline items from the general top-story stream. For a section-specific list, use vanityfair_headlines with a supported section slug. Use vanityfair_article with a returned article URL when you need one story's body.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "vanityfair_news"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

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. First observed

TDQS

A4.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, and an output schema covers the return shape, so the bar is lower. The description usefully adds that results come from the 'general top-story stream' and are 'headline items', clarifying no filtering is applied, but does not mention freshness, rate limits, or pagination.

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?

Three compact sentences, front-loaded with the core purpose and then the two routing alternatives. Every sentence earns its place with no redundancy.

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?

For a parameterless public feed with annotations covering safety and an output schema covering return structure, the description supplies everything needed: what it fetches, what the results are, and where to go for sections or full bodies.

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 no parameter syntax to document and the baseline is 4. The description appropriately spends no space on parameters and instead clarifies scope, which is the right call for a no-arg feed.

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 (Vanity Fair top stories from the public feed) and immediately distinguishes itself from siblings by naming vanityfair_headlines and vanityfair_article. An agent can select this over the other vanityfair tools 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?

Explicitly routes the agent: use vanityfair_headlines for a section-specific list with a slug, and vanityfair_article with a returned URL for one story's body. Both the when and the alternatives are stated, 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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