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web_search_news

Search for news articles across multiple search engines with automatic fallback, caching, and deduplication to ensure reliable results.

Instructions

Search for news articles using multiple search engines with fallback.

Features:

  • Automatic fallback between news search engines

  • Intelligent caching

  • Rate limiting protection

  • Result deduplication

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query string
max_resultsNoMaximum number of results to return (default: 10, max: 20)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations, the description effectively discloses key behaviors: automatic fallback between engines, intelligent caching, rate limiting protection, and result deduplication. These are important for the agent's decision-making, though it doesn't confirm read-only nature.

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?

The description is concise: a single sentence followed by a bullet list. It front-loads the main action and presents features efficiently without extraneous text.

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?

Given the tool's simplicity (2 params, output schema exists), the description covers purpose and key features. It could mention something about return format or limitations, but the output schema likely handles that, making it reasonably complete.

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 covers both parameters (query and max_results) fully (100% description coverage). The description adds no additional meaning beyond what's in the schema, so baseline score of 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 clearly states 'Search for news articles' which is a specific verb and resource. It distinguishes from sibling tools like 'web_search' and 'web_search_advanced' by focusing on news articles, making its purpose clear.

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 usage for news searches and lists beneficial features like fallback and caching, but does not explicitly state when to use versus alternatives or exclude certain scenarios. The agent can infer it's for news, but lacks explicit 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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