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jmanek

google-news-trends-mcp

by jmanek

get_news_by_location

Find news articles by geographic location. Retrieve articles from Google News filtered by city, state, or country with customizable time range and summaries.

Instructions

Find articles by location using Google News.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
periodNoNumber of days to look back for articles.
locationYesName of city/state/country.
full_dataNoReturn full data for each article. If False a summary should be created by setting the summarize flag
summarizeNoGenerate a summary of the article, will first try LLM Sampling but if unavailable will use nlp
max_resultsNoMaximum number of results to return.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Install Server

TDQS

C2.4/5.0
Behavior3/5

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

Annotations are not provided, so the description carries the full burden. It discloses that the source is Google News, which is useful. However, it does not mention behavioral traits such as rate limits, pagination, or how the location parameter is resolved (e.g., API moderation or geocoding). The description is minimal but not misleading.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, which is concise but lacks structure. It does not provide an overview, usage notes, or output hints. Every word is not earning its place because it could be more informative without much length.

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 that there are 5 parameters and an output schema exists, the description is incomplete. It does not mention what the tool returns (e.g., article titles, links, metadata) or how the output schema is structured. The tool is moderately complex, and the description fails to provide enough context for an agent to invoke it correctly.

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 description coverage is 100%, so baseline is 3. The description does not add any parameter-level semantics beyond the schema. For example, it does not explain what 'full_data' means in practice or the relationship between 'full_data' and 'summarize'. The schema already covers the parameters adequately, so the description adds no extra value.

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

Purpose2/5

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

The description 'Find articles by location using Google News' is vague. It does not specify the verb 'get' or 'list' and fails to differentiate from siblings like get_news_by_keyword or get_top_news. The purpose is implied but not clearly defined.

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 this tool versus siblings. The description does not mention that this tool should be used for location-based queries, nor does it exclude cases where other tools (e.g., get_news_by_keyword) are more appropriate.

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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