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get_news_by_keyword

Retrieve news articles by keyword from Google News, with configurable search period, max results, and optional summary generation.

Instructions

Find articles by keyword using Google News.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
periodNoNumber of days to look back for articles.
keywordYesSearch term to find 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
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only says 'Find articles by keyword using Google News' and does not mention expected output behavior, default summarization, or limitations such as pagination, rate limits, or regional bias. For a read operation this is less severe than for a mutation, but the behavioral detail is still sparse.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single efficient sentence with no redundant filler. It front-loads the core action and source, though it could have included a brief note about result options without becoming verbose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple keyword search tool, the description plus fully documented schema and an output schema make it minimally viable. However, with no annotations and many sibling tools, a bit more context about result summarization or the default 7-day lookback would improve completeness.

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?

The input schema has 100% description coverage, so the baseline is 3. The description adds little beyond confirming that 'keyword' is the central search term; it does not clarify how period, max_results, full_data, or summarize interact. The schema handles these adequately.

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?

The description uses a clear verb ('Find') and identifies both the resource ('articles') and the source ('Google News'). The phrase 'by keyword' helps differentiate this tool from siblings like get_news_by_location, get_news_by_topic, and get_news_by_site.

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?

The description implies this tool is for keyword-based searches, but it does not explicitly state when to use it over alternatives or when to avoid it. The sibling tool names provide context, but there is no direct routing guidance such as 'use get_news_by_topic when searching by topic instead.'

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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