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hindustantimes_headlines

Read-only

Current Hindustan Times headlines for one public section; section must come from hindustantimes_sections.

Input Schema

NameRequiredDescriptionDefault
sectionYesHindustan Times section slug. Documented values: india-news, world-news, cities, business, sports, cricket, entertainment, lifestyle, astrology, education, technology, opinion, science, books, real-estate, car-bike, nri, htcity, ht-insight, ht-explainers, editorials, trending, india-and-the-elections, editors-pick.

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: +"Hindustan Times section slug. Documented values: india-news, world-news, cities, business, sports, cricket, entertainment, lifestyle, astrology, education, technology, opinion, science, books, real-estate, car-bike, nri, htcity, ht-insight, ht-explainers, editorials, trending, india-and-the-elections, editors-pick."
  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 profile is covered. The description adds that results are 'current' (freshness) and limited to 'public' sections, which is genuine behavioral context, but it does not describe return shape or limits. A 3 fits given the annotation coverage.

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 with a semicolon-separated constraint; every clause earns its place and nothing is padded.

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 explained, and annotations cover the safety profile. The description plus schema give the agent everything needed to call it correctly; only explicit sibling routing is absent.

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 already enumerates documented section slugs. The description's added value is the constraint that the value must originate from hindustantimes_sections, which the schema does not state. 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 verb+resource+scope: 'Current Hindustan Times headlines for one public section.' An agent can tell this returns a headline list scoped to a section, distinguishing it implicitly from hindustantimes_article/news. It does not explicitly name or contrast the sibling tools, which keeps it from a 5.

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?

Provides a real prerequisite ('section must come from hindustantimes_sections'), which tells the agent how to obtain the argument. However it gives no guidance on when to prefer this over hindustantimes_news or hindustantimes_article, so usage is only implied rather than framed.

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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