Gets the current weather for a location
AI agents call getWeather to retrieve information from Mcp Docs Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves weather data for a specified location without creating, modifying, deleting, or executing anything. It is a straightforward read-only query operation. The low severity reflects minimal blast radius even if misused by an agent—the worst outcome would be obtaining weather data for an unintended location.
From the tool's definition Tool description states 'Gets the current weather for a location' — a retrieval operation with no side effects.
Attacks that exploit this kind of access
Gets the current weather for a location. It is categorised as a Read tool in the Mcp Docs Server MCP Server, which means it retrieves data without modifying state.
Register the Mcp Docs Server MCP server in PolicyLayer and add a rule for getWeather: 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 Docs Server. Nothing to install.
getWeather 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 getWeather 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 getWeather. 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.
getWeather is provided by the Mcp Docs Server MCP server (@mastra/mcp-docs-server). 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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