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BACH-AI-Tools

Newsnow MCP Server

top_news_by_locationpowered_by_google

Get top news articles for specific locations using Google News data. This tool helps users find relevant local or regional news coverage by providing headlines and information based on geographic areas.

Instructions

get top news by locations

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries full burden but adds minimal behavioral insight. It implies a read operation ('get') but doesn't disclose traits like rate limits, authentication needs, data freshness, or what 'top' means (e.g., recency, popularity). This is inadequate for a tool with zero annotation coverage.

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 phrase with no wasted words. However, it's under-specified rather than concise—it lacks necessary detail for clarity, but structurally it's front-loaded and minimal.

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?

Given no annotations, no output schema, and a vague purpose, the description is incomplete. It doesn't explain what 'top news' entails, how locations are used, or what the return format might be. For a news-fetching tool with sibling alternatives, more context is needed to guide effective use.

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?

The input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description doesn't add param details, which is fine, but it could hint at implicit inputs (e.g., location source). Baseline is 4 for zero params, as the schema fully covers the absence.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'get top news by locations' states the basic purpose with a verb ('get') and resource ('top news'), but it's vague about what 'by locations' means—does it filter, aggregate, or something else? It doesn't distinguish from siblings like 'top_news_by_category_powered_by_google' or 'top_news_by_site_powered_by_google', leaving ambiguity in scope.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives. With siblings like 'top_news_by_category_powered_by_google' and 'top_news_by_site_powered_by_google', the description lacks any indication of context, prerequisites, or exclusions, leaving the agent to guess based on names alone.

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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