AI agents call get_recent_alerts to retrieve information from Api without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
hours | integer | — | Number of hours to look back (default 24, max 168) |
minAlertLevel | string | null | — | Minimum alert level: 'green', 'orange', or 'red' |
Parameters from the server's own tool schema.
This tool retrieves or queries disaster alert information from www.gdacs.org without performing any side effects, modifications, or destructive operations. It is a straightforward data retrieval operation that belongs in the Read category. Severity is low because misuse would only result in accessing publicly available disaster information, with no blast radius for financial, operational, or data integrity impacts.
From the tool's definition Tool name 'get_recent_alerts' and description 'Get list of recent disaster alerts' indicate retrieval of existing data with no modification, deletion, or execution.
Attacks that exploit this kind of access
Get list of recent disaster alerts from the last N hours. It is categorised as a Read tool in the Api MCP Server, which means it retrieves data without modifying state.
get_recent_alerts accepts 2 parameters: hours, minAlertLevel. The full parameter table on this page comes from the server's own tool schema.
Register the Api MCP server in PolicyLayer and add a rule for get_recent_alerts: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Api. Nothing to install.
get_recent_alerts is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_recent_alerts rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for get_recent_alerts. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
get_recent_alerts is provided by the Api MCP server (https://api.gdacs.org/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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