AI agents call get_station_details to retrieve information from SNCF API MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool appears to retrieve static information about stations (likely details such as location, facilities, accessibility, contact information) from the SNCF API. This is a read-only operation with no ability to modify data, execute code, or cause irreversible changes. Even if misused, retrieving station details poses minimal risk. Low severity is appropriate for informational queries.
From the tool's definition Tool name 'get_station_details' indicates data retrieval. Description is empty but name and server context (railway information retrieval) strongly suggest this fetches information about train stations without side effects.
Documented attack patterns abuse exactly the kind of access get_station_details gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and SNCF API MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_station_details:
{
"version": "1",
"default": "deny",
"tools": {
"get_station_details": {}
}
}get_station_details is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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get_station_details. It is categorised as a Read tool in the SNCF API MCP Server MCP Server, which means it retrieves data without modifying state.
Register the SNCF API MCP Server MCP server in PolicyLayer and add a rule for get_station_details: 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 SNCF API MCP Server. Nothing to install.
get_station_details 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_station_details 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_station_details. 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_station_details is provided by the SNCF API MCP Server MCP server (kryzo/mcp-sncf). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from SNCF API MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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4 SNCF API MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.