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jmanek

google-news-trends-mcp

by jmanek

get_trending_terms

Identify popular search trends for specified geography using Google Trends data. Optionally include related news articles to gain deeper context.

Instructions

Returns google trends for a specific geo location.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
geoNoGeographic target for trending terms. Supports four levels of granularity: - Worldwide: empty string '' - Country: ISO 3166-1 alpha-2 code, e.g. 'US', 'GB', 'CA' - Subdivision (state/province/region): ISO 3166-2 format 'CC-XX' or 'CC-XXX', e.g. 'US-CA' (California), 'BE-BRU' (Brussels) - US metro area: bare Nielsen DMA code (numeric string), e.g. '807' (San Francisco Bay Area), '501' (New York City)US
full_dataNoReturn full data for each trend including related news stories.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations provided, and the description lacks details on what exactly is returned (e.g., time range, number of trends, whether it includes news stories). The output schema is present but not referenced in the description.

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, concise sentence that front-loads the main purpose. While very brief, it avoids unnecessary words.

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

Completeness3/5

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

Given the presence of output schema and detailed parameter descriptions, the description is minimally adequate but could benefit from specifying that trends are 'daily trending search terms'.

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 covers parameter descriptions comprehensively (100% coverage), so the description adds no additional meaning. Baseline 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 the tool returns Google Trends for a specific geo location, using a specific verb and resource. It is distinct from sibling news-focused tools.

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 on when to use or alternatives. The description does not mention scenarios for different geo granularities or when not to use this tool.

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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