railway_restart_deployment · Railway MCP Server MCP

WHAT IT DOES

What railway_restart_deployment does on Railway MCP Server

AI agents invoke railway_restart_deployment to trigger actions in Railway MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why railway_restart_deployment needs a policy

The tool executes a restart action on a Railway deployment, which is an operational trigger that affects running services. While not destructive (data is not deleted/overwritten) or write-like (not creating/modifying configuration), it is Execute because it runs an external operation whose real-world effects depend on the arguments provided (deployment ID, environment, etc.).

From the tool's definition Tool name 'railway_restart_deployment' and description 'Restart a deployment' indicates triggering an external operation (deployment restart) whose effects depend on which deployment is targeted.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

railway_restart_deployment Rate-limited

railway_restart_deployment stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "railway_restart_deployment": {
      "limits": [
        {
          "counter": "railway_restart_deployment_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Railway MCP Server, so you can run agents against it safely.

FAQ

Questions about railway_restart_deployment

What does the railway_restart_deployment tool do? +

Restart a deployment without rebuilding. Useful for picking up new environment variables. It is categorised as a Execute tool in the Railway MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on railway_restart_deployment? +

Register the Railway MCP Server MCP server in PolicyLayer and add a rule for railway_restart_deployment: 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 railway_restart_deployment? +

railway_restart_deployment is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit railway_restart_deployment? +

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

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

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