AI agents call get_forecast to retrieve information from MCP_3 without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries weather forecast data for a given location and returns information without modifying, deleting, or executing external code. It is a read-only operation that retrieves existing data. Severity is low as misuse would only return incorrect or irrelevant weather information with no broader system impact.
From the tool's definition Tool name 'get_forecast' and description '获取指定位置的天气预报' (get weather forecast for specified location) indicate a retrieval operation with no side effects.
Attacks that exploit this kind of access
获取指定位置的天气预报。. It is categorised as a Read tool in the MCP_3 MCP Server, which means it retrieves data without modifying state.
Register the MCP_3 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_3. 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_3 MCP server (sunhuiowo/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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