rail_nearest_stations
Find station complexes by straight-line distance to their mean official exit location. This is not walking-route distance.
This record as markdown: /tools/olano-mcp-singapore/rail-nearest-stations.md
What rail_nearest_stations does on Mcp Singapore
AI agents call rail_nearest_stations to retrieve information from Mcp Singapore without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
limit | integer | — | |
system | string | — | |
latitude | number | Yes | |
longitude | number | Yes | |
radiusMetres | number | — |
Parameters from the server's own tool schema.
Why rail_nearest_stations is rated Low
Even though rail_nearest_stations only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs rail_nearest_stations safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Singapore, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For rail_nearest_stations, this is the rule to start with:
rail_nearest_stations is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Singapore, apply this rule, and every rail_nearest_stations call is checked against it from then on.
Questions about rail_nearest_stations
Find station complexes by straight-line distance to their mean official exit location. This is not walking-route distance. It is categorised as a Read tool in the Mcp Singapore MCP Server, which means it retrieves data without modifying state.
rail_nearest_stations accepts 5 parameters: limit, system, latitude, longitude, radiusMetres. Required: latitude, longitude. The full parameter table on this page comes from the server's own tool schema.
Register the Mcp Singapore MCP server in PolicyLayer and add a rule for rail_nearest_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 Mcp Singapore. Nothing to install.
rail_nearest_stations 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 rail_nearest_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.
Set action: deny in the PolicyLayer policy for rail_nearest_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.
rail_nearest_stations is provided by the Mcp Singapore MCP server (@olano/mcp-singapore). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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