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serp_google_news

Search Google News and retrieve structured news article results, with options for country, language, time range, and pagination.

Instructions

Search Google News and get news article results.

Performs a Google News search and returns structured news results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number for pagination (default: 1).
queryYesThe search query string for news search. Required.
numberNoNumber of results per page (default: 10). Note: More than 10 results may incur additional credits.
countryNoCountry code for localized results (e.g., 'us', 'cn', 'uk'). Default is 'us'.
languageNoLanguage code for results (e.g., 'en', 'zh-cn', 'fr'). Default is 'en'.
time_rangeNoTime filter for results. Options: 'h'/'qdr:h' (past hour), 'd'/'qdr:d' (past day), 'w'/'qdr:w' (past week), 'm'/'qdr:m' (past month), 'y'/'qdr:y' (past year), or None for no time restriction (default).

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 transparency. It only adds that results are 'structured news results,' which is a minimal behavioral hint. It does not disclose pagination behavior, credit implications, default country/language behavior, or any side effects, leaving a significant gap for a tool with no annotation support.

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 two short sentences and front-loaded with the core purpose. However, the second sentence ('Performs a Google News search...') largely restates the first, making it slightly redundant. It is still concise and easy to scan, but not zero-waste.

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?

Despite having six parameters and several sibling search tools, the description is under-specified. It omits mention of localization options (country/language), time range filtering, and any nuances of Google News vs. general web search. The output schema exists, but the narrative context is minimal and does not help the agent understand when or how to fully leverage the 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?

The input schema provides descriptions for all six parameters, covering meaning, defaults, and constraints (e.g., 'number' notes additional credits beyond 10). Since schema_description_coverage is 100%, the description does not need to compensate, and it adds no extra parameter information beyond restating the tool's purpose.

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 that the tool performs a Google News search and returns news article results, specifying both the verb ('search') and the resource ('Google News'). This clearly distinguishes it from sibling tools like serp_google_search or serp_google_images, even though the two sentences are slightly redundant.

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 usage context is implied by the tool name and description—use for Google News searches—but there is no explicit guidance on when to choose this over sibling tools or any exclusions. No alternatives are mentioned, leaving the agent to infer the use case without clear direction.

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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