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get_top_news

Read-only

Retrieve current top news headlines and stories from Google News without filters. Specify a lookback period, result count, and optional summaries to get a broad news snapshot.

Instructions

Return general headline and top-news stories from Google News without a keyword or topic seed. Use this for a broad news snapshot; use the keyword, location, topic, or site tools when the user gives a filter.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
periodNoNumber of days to look back for top articles.
full_dataNoReturn full data for each article. If False a summary should be created by setting the summarize flag
summarizeNoGenerate a summary of the article, will first try LLM Sampling but if unavailable will use nlp
max_resultsNoMaximum number of results to return.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv0.2.13
    • removedOutput schema / description
      Removed value: -"Generic wrapper for non-object return types."
  2. First observed

TDQS

A4.3/5.0
Behavior3/5

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

Annotations already provide readOnlyHint=true, openWorldHint=true, and destructiveHint=false, covering the safety profile. The description adds that results come from Google News and are unfiltered, but it does not describe details like result aggregation, freshness, or the relationship between full_data and summarize. With annotations present, this is adequate but not rich.

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 with no filler. The core behavior is front-loaded, and the usage guidance adds meaningful routing information without 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 read-only news tool with a complete input schema, an output schema, and strong annotations, the description covers the essential context: what it returns, when to use it, and which sibling to use instead when a filter is present. Nothing critical is missing for an agent to invoke it correctly.

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%, so the schema documents all four parameters. The description does not add parameter-specific semantics, but it does clarify the absence of a keyword/topic seed, which helps explain why no such parameter exists. Baseline 3 is appropriate.

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 states a specific verb and resource: 'Return general headline and top-news stories from Google News without a keyword or topic seed.' It clearly distinguishes this from the sibling keyword, location, topic, and site news tools by emphasizing the lack of filters.

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?

It explicitly says to use this tool for 'a broad news snapshot' and to use the keyword, location, topic, or site tools when the user gives a filter. This provides direct when-to-use and when-not-to-use guidance with named alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.