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cnn_headlines

Read-only

Fetch current CNN headline items for one section, including title, URL, description, publication time, and image. Use cnn_article for one story, cnn_author for a profile, or cnn_live_story for a live story.

Input Schema

NameRequiredDescriptionDefault
sectionNoCNN section. Allowed values: world, us, politics, business, health, entertainment, style, travel, sports, science, climate, weather, opinion. Default world. Documented values: world, us, politics, business, health, entertainment, style, travel, sports, science, climate, weather, opinion.

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: +"CNN section. Allowed values: world, us, politics, business, health, entertainment, style, travel, sports, science, climate, weather, opinion. Default world. Documented values: world, us, politics, business, health, entertainment, style, travel, sports, science, climate, weather, opinion."
  2. First observed

TDQS

A4.2/5.0
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. The description adds the notion of freshness ("current") and enumerates returned fields, but those fields largely duplicate the existing output schema, and it discloses nothing about pagination, rate limits, or result counts. Modest added value over structured fields merits a 3.

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, zero waste, and correctly front-loaded: the core behavior and scope come first, then the disambiguation to siblings. 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 present, return shapes need not be re-explained, and the annotations plus description cover purpose, scope, and alternatives adequately. The only minor gap is the absence of any note on result volume or freshness/update cadence for an open-world fetch tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and the section enum of 13 values is fully documented in the schema, so the baseline is 3. The description only restates that filtering is by a single section and adds no syntax or default detail beyond what the schema already gives (default world).

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 CNN headline items) plus the scoping constraint (one section) and the returned fields. It explicitly names the sibling tools it is not, so an agent can separate cnn_headlines from cnn_article/cnn_author/cnn_live_story 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?

Directly routes the agent to alternatives with their selection conditions: cnn_article for one story, cnn_author for a profile, cnn_live_story for a live story. This is explicit when-to-use-this-vs-that guidance rather than 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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