Get weather forecast for a location. Returns JSON with properties.periods array containing forecast objects with name, temperature, temperatureUnit, windSpeed, windDirection, shortForecast, detailedForecast.
AI agents call get_forecast to retrieve information from Codemesh without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries a weather service and returns forecast data without modifying any state or executing code. It is a straightforward data retrieval operation with minimal security risk. The blast radius is negligible as misuse would only result in unnecessary API calls, not data compromise or destructive actions.
From the tool's definition Tool description states 'Get weather forecast for a location. Returns JSON with properties' - it retrieves weather data with no side effects.
Documented attack patterns abuse exactly the kind of access get_forecast gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Codemesh, and nothing reaches the server without passing your rules. This is the rule we recommend for get_forecast:
{
"version": "1",
"default": "deny",
"tools": {
"get_forecast": {}
}
}get_forecast is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get weather forecast for a location. Returns JSON with properties.periods array containing forecast objects with name, temperature, temperatureUnit, windSpeed, windDirection, shortForecast, detailedForecast. It is categorised as a Read tool in the Codemesh MCP Server, which means it retrieves data without modifying state.
Register the Codemesh 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 Codemesh. 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 Codemesh MCP server (kiliman/codemesh). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Codemesh, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
13 Codemesh tools catalogued and risk-classified — across an index of 43,000+ MCP servers.