Low Risk

service_info

[API] Get detailed information about a specific service ⚡️ Best for: ✓ Viewing service configuration and status ✓ Checking deployment details ✓ Monitoring service health → Prerequisites: service_list → Next steps: deployment_list, variable_list → Related: service_update, deployment_trigger

Part of the Railway MCP Server server.

service_info is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call service_info to retrieve information from Railway MCP Server without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though service_info only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "service_info": {}
  }
}

See the full Railway MCP Server policy for all 38 tools.

Get this rule live on your own Railway MCP Server server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access service_info gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so service_info only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the service_info tool do? +

[API] Get detailed information about a specific service ⚡️ Best for: ✓ Viewing service configuration and status ✓ Checking deployment details ✓ Monitoring service health → Prerequisites: service_list → Next steps: deployment_list, variable_list → Related: service_update, deployment_trigger. It is categorised as a Read tool in the Railway MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on service_info? +

Register the Railway MCP Server MCP server in PolicyLayer and add a rule for service_info: 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 Railway MCP Server. Nothing to install.

What risk level is service_info? +

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

Can I rate-limit service_info? +

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

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

service_info is provided by the Railway MCP Server MCP server (jason-tan-swe/railway-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Railway MCP Server tool call.

Deterministic rules across all 38 Railway MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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