获取指定城市的未来天气预报（按天）。
AI agents call get_daily_forecast to retrieve information from Weather MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns weather forecast data for a specified city on a daily basis. It performs a read operation only—no data is modified, deleted, or any external actions triggered. The function signature and purpose align with information retrieval.
From the tool's definition Tool name 'get_daily_forecast' and description '获取指定城市的未来天气预报（按天）' (retrieve specified city's future weather forecast by day) indicate a query operation that retrieves weather data with no side effects.
Attacks that exploit this kind of access
获取指定城市的未来天气预报（按天）。. It is categorised as a Read tool in the Weather MCP MCP Server, which means it retrieves data without modifying state.
Register the Weather MCP server in PolicyLayer and add a rule for get_daily_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 Weather MCP. Nothing to install.
get_daily_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_daily_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_daily_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_daily_forecast is provided by the Weather MCP server (jayleonc/weather-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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