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rawstory_headlines

Read-only

Current Raw Story headlines for one public section; section must come from rawstory_sections.

Input Schema

NameRequiredDescriptionDefault
sectionYesRaw Story section slug. Documented values: us-news, trump-news, world, enviro-science, all-video, raw-investigates, also-read, commentary, blogs-media, 2026-midterm-elections-section, presidential-campaign-issues, smartnews, super-head, jd-vance, supreme-court.

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: +"Raw Story section slug. Documented values: us-news, trump-news, world, enviro-science, all-video, raw-investigates, also-read, commentary, blogs-media, 2026-midterm-elections-section, presidential-campaign-issues, smartnews, super-head, jd-vance, supreme-court."
  2. First observed

TDQS

A3.6/5.0
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 and freshness-domain profile is covered. The description adds 'current' (recency) and the 'public section' scoping constraint, which is real context, but says nothing about pagination, ordering, or result volume. With annotations carrying the safety load, a 3 fits.

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 front-loaded sentence that leads with the resource and scope, then appends the constraint. No filler, nothing to trim.

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 one-parameter read tool with an output schema and annotations, the description supplies what is needed to invoke it: resource, scope, and the source of valid section values. The only gap is the lack of differentiation from rawstory_news/rawstory_article, which is an orientation rather than a call-correctness issue.

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 coverage is 100% and the schema itself enumerates the documented section slugs, so the parameter is already fully documented. The description adds the normative provenance rule (valid values come from rawstory_sections), which is marginal extra value over the schema's list. Baseline 3 is appropriate when the schema does the heavy lifting.

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 resource and scope: 'Current Raw Story headlines for one public section.' The agent knows it returns a headline feed rather than article bodies. It does not, however, contrast itself with the close sibling rawstory_news (or rawstory_article), so the boundary between near-identical tools is left to inference.

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?

'section must come from rawstory_sections' is a genuine prerequisite and establishes tool-call ordering, which is useful. Beyond that there is no when-to-use/when-not guidance or routing to alternatives such as rawstory_news, so usage is implied rather than captured.

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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