获取指定城市未来几天的天气预报。
AI agents call get_forecast to retrieve information from MCP Weather Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves weather forecast information without any side effects. It is a data retrieval operation with no capability to modify, delete, or execute actions. The blast radius of misuse is negligible—an agent could only retrieve weather data, which poses no security or operational risk.
From the tool's definition Tool name 'get_forecast' and description indicate retrieval of future weather forecast data ('获取指定城市未来几天的天气预报' = 'Get weather forecast for a specified city for the next several days').
Attacks that exploit this kind of access
获取指定城市未来几天的天气预报。. It is categorised as a Read tool in the MCP Weather Server MCP Server, which means it retrieves data without modifying state.
Register the MCP Weather Server MCP server in PolicyLayer and add a rule for get_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 MCP Weather Server. Nothing to install.
get_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 get_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 get_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.
get_forecast is provided by the MCP Weather Server MCP server (liusicheng/mcp-weather). 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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