Get ensemble forecasts showing forecast uncertainty with multiple model runs.
AI agents call ensemble_forecast to retrieve information from Open Meteo without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool fetches ensemble weather forecast data from the Open-Meteo API. It only reads/retrieves data with no side effects, modifications, or destructive actions possible. Severity is low as misuse could only result in unnecessary API calls.
From the tool's definition 'Get ensemble forecasts showing forecast uncertainty with multiple model runs' — purely retrieves weather forecast data
Attacks that exploit this kind of access
Get ensemble forecasts showing forecast uncertainty with multiple model runs. It is categorised as a Read tool in the Open Meteo MCP Server, which means it retrieves data without modifying state.
Register the Open Meteo MCP server in PolicyLayer and add a rule for ensemble_forecast: 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 Open Meteo. Nothing to install.
ensemble_forecast 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 ensemble_forecast 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 ensemble_forecast. 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.
ensemble_forecast is provided by the Open Meteo MCP server (windsornguyen/open-meteo-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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