srgssr_weather_forecast_24h
AI agents call srgssr_weather_forecast_24h to retrieve information from Pypi:srgssr without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Based on naming convention and server context, this tool retrieves weather forecast data for the next 24 hours from SRG SSR public APIs. The 'forecast' operation is a read-only query with no side effects. Confidence is slightly reduced (0.85 rather than 0.95) due to the empty description, but the tool name and sibling patterns strongly indicate read-only access to meteorological information.
From the tool's definition Tool name 'srgssr_weather_forecast_24h' clearly indicates data retrieval; description is empty but sibling tools on this server (all get_* tools) are query/retrieval operations; no parameters or context suggest modification, deletion, or execution…
Attacks that exploit this kind of access
srgssr_weather_forecast_24h. It is categorised as a Read tool in the Pypi:srgssr MCP Server, which means it retrieves data without modifying state.
Register the Pypi:srgssr MCP server in PolicyLayer and add a rule for srgssr_weather_forecast_24h: 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 Pypi:srgssr. Nothing to install.
srgssr_weather_forecast_24h 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 srgssr_weather_forecast_24h 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 srgssr_weather_forecast_24h. 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.
srgssr_weather_forecast_24h is provided by the Pypi:srgssr MCP server (malkreide/srgssr-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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