plan_evening_out
AI agents call plan_evening_out to retrieve information from Swiss Rail without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Given the server context (Swiss public transport queries), this tool likely retrieves journey/connection information for evening travel planning, similar to sibling tools like 'get_connections' and 'journey_with_layover'. No write, execute, destructive, or financial actions are suggested. Confidence is low due to the empty description.
From the tool's definition Tool name 'plan_evening_out' on a Swiss public transport server; description is empty and uninformative.
Attacks that exploit this kind of access
plan_evening_out. It is categorised as a Read tool in the Swiss Rail MCP Server, which means it retrieves data without modifying state.
Register the Swiss Rail MCP server in PolicyLayer and add a rule for plan_evening_out: 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 Swiss Rail. Nothing to install.
plan_evening_out 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 plan_evening_out 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 plan_evening_out. 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.
plan_evening_out is provided by the Swiss Rail MCP server (kintscher/swiss-rail-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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