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news18_headlines

Read-only

Current News18 headlines for one public section; section must come from news18_sections.

Input Schema

NameRequiredDescriptionDefault
sectionYesNews18 RSS section slug. Documented values: india, world, cricket, business, sports, movies, lifestyle, tech, auto, opinion, elections, politics, viral, explainers, education-career, astrology, cities, breaking-news.

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: +"News18 RSS section slug. Documented values: india, world, cricket, business, sports, movies, lifestyle, tech, auto, opinion, elections, politics, viral, explainers, education-career, astrology, cities, breaking-news."
  2. First observed

TDQS

A4.2/5.0
Behavior3/5

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

The annotations already declare readOnlyHint=true and openWorldHint=true, so safety and openness are covered by structured data. The description adds the scoping constraint that only one section's current headlines are returned, but says nothing about result volume, freshness window, or ordering beyond the annotation-backed reading of a live feed.

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 states the resource and the input constraint with zero filler. Nothing is repeated from the title or annotations.

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 values need not be described, and the one required parameter is fully documented, so the definition is nearly complete. The only remaining gap is the absence of any cue about how this headline feed relates to the sibling news18_news tool, which an agent choosing between them would want.

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%, so the baseline is 3, and the description goes slightly beyond it by asserting that the section value must originate from news18_sections and must be a single public section. That source-of-truth constraint is meaningful semantic guidance the schema's static enum-style list does not convey on its own.

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?

The description names a specific resource ('News18 headlines') plus a scope qualifier ('for one public section'), which is a concrete verb+resource pairing. It also implicitly distinguishes itself from the sibling news18_news/article tools by framing the output as headlines for a section rather than articles or a news listing.

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?

It explicitly states a precondition ('section must come from news18_sections'), routing the agent to the correct sibling to fetch valid inputs. It stops short of stating when to prefer headlines over the sibling news18_news or news18_article tools, so it is clear context rather than full when/when-not guidance.

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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