Get weather forecast for a location.
AI agents call get_forecast to retrieve information from PyWeatherMCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves weather forecast data from the National Weather Service API. It performs a read-only query that returns information without creating, modifying, deleting, or executing anything. The operation has no side effects and poses minimal security risk; misuse would only result in excessive API calls or information disclosure of public weather data.
From the tool's definition Tool name is 'get_forecast' and description states 'Get weather forecast for a location' — a retrieval operation with no side effects.
Attacks that exploit this kind of access
Get weather forecast for a location. It is categorised as a Read tool in the PyWeatherMCP MCP Server, which means it retrieves data without modifying state.
Register the PyWeather 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 PyWeatherMCP. 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 PyWeather MCP server (zerosks471/pyweathermcp). 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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