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News Mention Timeline (GDELT)

events.global.timeline
Read-onlyIdempotent

Track mention volume of any topic over time to see when a keyword spikes in global news coverage. Access up to 3 months of data from the GDELT Project.

Instructions

Track mention volume of any topic over time — see when a keyword spikes in global news coverage. Up to 3 months of data (GDELT Project)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesQuery to track mention volume over time (e.g. "Bitcoin", "artificial intelligence")
timespanNoTime window: "1d", "7d", "30d", "3m" (default: 3 months)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNoTool response payload. Shape varies per tool — consult the tool description and inputSchema. May be an object, array, string, or number depending on the upstream provider response.
errorNoPresent only when the call failed. Includes error code, message, request_id, and any provider-specific extras.
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is clear. The description adds useful behavioral context: it covers up to 3 months of data and sources from GDELT Project, which goes beyond the schema.

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?

Two sentences front-loading the core action and key constraints. No wasted words; every sentence earns its place.

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?

For a simple 2-parameter tool with a known output schema, the description provides sufficient context: data source, time limit, and keyword examples. It is complete for an agent to decide on invocation.

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 coverage is 100%, with both parameters well-described. The description adds only minor value by exemplifying keywords and restating the timespan range. Baseline 3 is appropriate as schema does the heavy lifting.

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 tracks mention volume of any topic over time in global news coverage, using a specific verb 'track' and resource 'GDELT project news'. It distinguishes from sibling 'events.global.search' which would be for specific event lookup.

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?

The description implies usage for monitoring keyword spikes and trends in news coverage, but does not explicitly state when to use this tool over alternatives like 'news.global.latest' or 'events.global.search'. It provides a clear context without exclusions.

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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