New Your team’s decisions, in one playbook every coding agent works from. Never answer your agent twice

rail_list_exits

List official station-exit points, optionally filtered by station name/code and exit label.

SERVERMcp Singapore SOURCE@olano/mcp-singapore
Low RISK CLASS
Category Read
Parameters 40 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/olano-mcp-singapore/rail-list-exits.md

What rail_list_exits does on Mcp Singapore

AI agents call rail_list_exits 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.

ParameterTypeRequiredDescription
limit integer
offset integer
exitCode string
stationQuery string

Parameters from the server's own tool schema.

Why rail_list_exits is rated Low

Even though rail_list_exits 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.

Questions about rail_list_exits

What does the rail_list_exits tool do? +

List official station-exit points, optionally filtered by station name/code and exit label. It is categorised as a Read tool in the Mcp Singapore MCP Server, which means it retrieves data without modifying state.

What parameters does rail_list_exits accept? +

rail_list_exits accepts 4 parameters: limit, offset, exitCode, stationQuery. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on rail_list_exits? +

Register the Mcp Singapore MCP server in PolicyLayer and add a rule for rail_list_exits: 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.

What risk level is rail_list_exits? +

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

Can I rate-limit rail_list_exits? +

Yes. Add a rate_limit block to the rail_list_exits 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 rail_list_exits completely? +

Set action: deny in the PolicyLayer policy for rail_list_exits. 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 rail_list_exits? +

rail_list_exits 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.

More on Mcp Singapore, and thousands of servers like it.

// THE MCP REGISTRY

PolicyLayer tracks 44,603 MCP servers and 515,000+ tools.

Every server has a live record: who publishes it, whether it answers without auth, its risk grade, every tool classified, the recommended policy. This page is one line of Mcp Singapore's. Pull the full record:

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.