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Agent Data Tools: Web, documents and search

News headlines, latest news: search current news articles (Brave)

news
Read-only

News headlines on any topic, crypto included, as JSON: title, URL, snippet, publisher domain and age, from the Brave Search API's news index. 1-20 results per call; freshness limits results to the past day, week or month. Results are for the caller's immediate use only: no storing, resale or model training (Brave API terms). Upstream failures return 503, uncharged. Use when an agent needs current news on a topic. Example: q=bitcoin ETF. Price $0.01/call via x402 USDC or a card key (/credits); failed calls free. Reads or computes only and changes nothing; each call is charged, so repeats are not free.

Input Schema

NameRequiredDescriptionDefault
qYesNews search query, at most 400 characters
countNoNumber of results (1-20, default 10)
freshnessNoOnly articles from the past day, week or month (default: any age)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.3/5.0
Behavior5/5

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

Annotations already cover safety (readOnly, non-destructive, open-world, non-idempotent), and the description adds substantial extra context: Brave licensing restrictions (no storing/resale/model training), 503 on upstream failure with no charge, and $0.01/call pricing with failed calls free. These are behavioral traits an agent cannot get from the annotations alone.

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?

Dense but front-loaded: purpose and returns come first, then limits, legal terms, and pricing. Minor waste from restating cost twice ($0.01/call and "each call is charged") and from re-declaring the read-only nature already in annotations.

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?

With no output schema, the description compensates by naming the return fields (title, URL, snippet, publisher domain and age) plus failure mode and pricing. Nothing an agent needs to invoke this correctly appears to be missing.

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; the description adds value by stating the 1-20 result range, describing freshness as past day/week/month, and giving a query example. It stops short of enumerating the exact freshness string values, leaving that to the schema.

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 ("News headlines on any topic... from the Brave Search API's news index") and lists the returned fields, making the resource concrete. It separates itself from the general `search` sibling only implicitly via "news index" rather than naming the alternative, so it falls short of 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 Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives a clear usage trigger ("Use when an agent needs current news on a topic") plus a worked example (q=bitcoin ETF) and warns that repeat calls are billed, discouraging redundant invocations. It never says when NOT to use it or explicitly routes to siblings like `search` or `pack_news_sentiment`, so no exclusions are provided.

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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