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BACH-AI-Tools

News Api14 MCP Server

search_articles

Search for news articles by keywords, with filters for language, publisher, and date range to narrow results.

Instructions

Find articles by keywords and allows you to filter by country, language, publisher, and date to get specific result.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesJust type what you're looking for, like cats or weather. If you want to exclude term, just add minus (-) in front of any term (nasa -moon).
languageYesexample: en, fr, de, zh-Hant. Check out the Supported Languages endpoint to see a list of all the languages you can search for.
publisherNoA domain of the news source. Example: cnn.com
fromNoAccepts human-readable formats like 1d for 1 day, 1m for 1 month, 1y for 1 year, as well as ISO 8601, RFC 2822, and Unix timestamp formats.
toNoAccepts human-readable formats like 1d for 1 day, 1m for 1 month, 1y for 1 year, as well as ISO 8601, RFC 2822, and Unix timestamp formats.
limitNoThis parameter controls the maximum number of articles returned on a single page.0
pageNoThis parameter specifies the page number you want to access. For example, page=2 will return the second page of results.0
Behavior2/5

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

No annotations provided, so description must disclose behavioral traits. It only states basic function and does not mention pagination, rate limits, authentication, error handling, or response format. The schema provides parameter details but description lacks behavioral context.

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?

Single sentence, 16 words, no redundancy. Every word serves a purpose. Front-loaded with main action.

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

Completeness2/5

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

With 7 parameters, no output schema, and no annotations, the description is too brief. It fails to specify return structure, ordering, error handling, or scope (news articles? all articles?). Incomplete for a search tool.

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% with detailed descriptions for each parameter (e.g., query format, date formats). The description adds minimal information beyond schema (just lists filter types). Baseline 3 applies.

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?

Clearly states 'Find articles by keywords and allows filtering' which specifies the verb (find/search), resource (articles), and differentiates from sibling tools like get_article_content (single article) or get_random_article (random).

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?

Implies usage for keyword-based filtering but does not explicitly state when to use or not use this tool versus alternatives. No exclusions or prerequisites mentioned.

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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