meteo_stations

meteo_stations

Server Pypi:meteoswiss malkreide/meteoswiss-mcp
Category Read
Risk class Low
Parameters 00 required

What meteo_stations does on Pypi:meteoswiss

AI agents call meteo_stations to retrieve information from Pypi:meteoswiss without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why meteo_stations needs a policy

This tool almost certainly retrieves or lists weather station information (locations, identifiers, capabilities) without modifying any data. Even with no description provided, the context—a public meteorological data service with read-only sibling tools—and the naming convention strongly indicate a Read category operation with low blast radius if misused by an AI agent.

From the tool's definition Tool name 'meteo_stations' on a weather data server (MeteoSwiss) with sibling tools including 'meteo_current', 'meteo_forecast', and 'meteo_warnings' suggests data retrieval.

Questions about meteo_stations

What does the meteo_stations tool do? +

meteo_stations. It is categorised as a Read tool in the Pypi:meteoswiss MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on meteo_stations? +

Register the Pypi:meteoswiss MCP server in PolicyLayer and add a rule for meteo_stations: 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:meteoswiss. Nothing to install.

What risk level is meteo_stations? +

meteo_stations is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit meteo_stations? +

Yes. Add a rate_limit block to the meteo_stations 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.

How do I block meteo_stations completely? +

Set action: deny in the PolicyLayer policy for meteo_stations. 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.

What MCP server provides meteo_stations? +

meteo_stations is provided by the Pypi:meteoswiss MCP server (malkreide/meteoswiss-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

// LOOK UP ANOTHER 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.

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.