AI agents call climate.station-near to retrieve information from Mcp without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a geospatial lookup of climate monitoring stations from NOAA's public database. It retrieves information without creating, modifying, deleting, or executing any actions. The operation has no side effects and returns static reference data about weather station locations.
From the tool's definition The tool "Find NOAA GHCN-Daily climate stations near a coordinate" retrieves publicly available climate station data based on geographic coordinates.
Attacks that exploit this kind of access
Find NOAA GHCN-Daily climate stations near a coordinate. Useful for long-term climate-history lookups. It is categorised as a Read tool in the Mcp MCP Server, which means it retrieves data without modifying state.
Register the MCP server in PolicyLayer and add a rule for climate.station-near: 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 Mcp. Nothing to install.
climate.station-near 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 climate.station-near 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 climate.station-near. 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.
climate.station-near is provided by the MCP server (@2sio/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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