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global-news-intel

Search global news across 200+ languages and 100+ countries. Get articles with metadata or timeline volume for geopolitical risk monitoring, ESG screening, and crisis detection.

Instructions

Searches global news coverage across 200+ languages and 100+ countries via GDELT. Returns recent articles with title, URL, publication date, source country, and language. Timeline mode returns coverage volume over time. Ideal for geopolitical risk monitoring, ESG screening, crisis detection, international market intelligence, and media trend analysis. Free upstream API, no auth required. Data window: ~3 days (artlist), ~3 months (timeline).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoSearch query — supports quoted phrases (e.g. '"climate change"') and boolean operators (AND, OR, NOT). Defaults to 'world news' if omitted.
modeNoartlist (default): returns matching articles. timeline: returns article count per 15-min interval over time.
maxrecordsNoMax articles to return (artlist mode only). 1–250, default 10.
sourcelangNoFilter by source language (e.g. 'english', 'spanish', 'chinese'). Omit for all languages.
sourcecountryNoFilter by 2-letter ISO country code (e.g. 'US', 'GB', 'CN', 'DE'). Omit for all countries.
startdatetimeNoStart of time range: YYYYMMDDHHMMSS (e.g. '20260601000000').
enddatetimeNoEnd of time range: YYYYMMDDHHMMSS.
Behavior4/5

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

Discloses free API, no auth required, data window limits (~3 days articles, ~3 months timeline). Missing rate limits or pagination details, but acceptable for a tool with no annotations.

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?

Four sentences, front-loaded with main action, no redundant information. Every sentence adds value.

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

Completeness5/5

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

Covers usage modes, return fields, data window, and all parameters. For a tool with no output schema, the description explains the response adequately.

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?

Schema coverage is 100%, but description adds defaults and examples (e.g., query defaults to 'world news', mode defaults to 'artlist'). Adds value beyond schema.

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 the tool searches global news coverage across 200+ languages and 100+ countries via GDELT. Distinct from siblings by its global scope and specific data sources.

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

Usage Guidelines4/5

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

Lists explicit use cases like geopolitical risk monitoring and crisis detection. No explicit when-not-to-use or alternatives, but context is clear.

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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