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Global Disaster Alerts (UN)

gdacs.disasters.alerts
Read-onlyIdempotent

Get current and recent global disaster alerts from the UN GDACS system. Returns earthquakes, tropical cyclones, floods, volcanoes, droughts, and tsunamis with color-coded severity (Green/Orange/Red), affected country, coordinates, and population impact estimates.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of events to return, max 50 (default 10)
event_typeNoFilter by disaster type: EQ=earthquake, TC=tropical cyclone, FL=flood, VO=volcano, DR=drought, TS=tsunami
alert_levelNoMinimum alert level filter: Green (low), Orange (medium), Red (high impact)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorNoPresent only when the call failed. Includes error code, message, request_id, and any provider-specific extras.
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.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, and openWorldHint=true, so the safety profile is clear. The description adds valuable context about output details (color-coded severity, affected country, coordinates, population impact) and lists disaster types, which goes beyond the annotations. It does not mention rate limits or data freshness, but annotations cover the basic behavioral traits.

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?

The description is three sentences, each adding value: first sentence states the main purpose, second lists disaster types and output fields, third mentions severity colors and population estimates. It is front-loaded and contains zero filler. Every word 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?

Given the tool's simplicity (3 optional parameters, 100% schema coverage, output schema exists), the description is complete. It explains what data is returned (disaster types, severity, location, population), which aligns with the parameters. The presence of an output schema means return values need not be detailed in the description. The tool is fully covered.

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?

All three parameters are documented in the input schema with 100% coverage, including descriptions and enums. The description reiterates the disaster types and severity colors but does not add deeper semantics beyond what the schema provides. Baseline score of 3 is appropriate since the schema carries the parameter documentation burden.

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

Purpose4/5

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

The description clearly states the verb 'Get' and resource 'current and recent global disaster alerts' from UN GDACS. It lists the specific disaster types and output fields, making the purpose unambiguous. However, it does not explicitly distinguish this tool from siblings like gdacs.disasters.details or gdacs.disasters.history, which would help an agent choose between them.

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

Usage Guidelines3/5

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

The description implies usage context: for current and recent alerts. But it provides no explicit guidance on when to use this tool versus alternatives (e.g., gdacs.disasters.details for a single event or gdacs.disasters.history for historical data). The agent must infer based on the name and description 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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