cli_waitlist_deploy · LaunchFrame MCP: Risk & Policy

WHAT IT DOES

What cli_waitlist_deploy does on LaunchFrame MCP

AI agents invoke cli_waitlist_deploy to trigger actions in LaunchFrame MCP. 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 cli_waitlist_deploy needs a policy

This tool triggers a build and deployment pipeline to a remote server. While not destructive in intent (it deploys rather than deletes), deployment operations are Execute-class because they run external commands/scripts whose real-world effects depend on the arguments and server state. Misuse could deploy malicious code, disrupt services, or compromise infrastructure.

From the tool's definition 'Build and deploy the waitlist service to the VPS via SSH' — the tool performs remote execution via SSH and deploys code/services to a VPS, which are external operations with effects dependent on execution success.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

cli_waitlist_deploy Rate-limited

cli_waitlist_deploy 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": {
    "cli_waitlist_deploy": {
      "limits": [
        {
          "counter": "cli_waitlist_deploy_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 LaunchFrame MCP, so you can run agents against it safely.

FAQ

Questions about cli_waitlist_deploy

What does the cli_waitlist_deploy tool do? +

Build and deploy the waitlist service to the VPS via SSH. It is categorised as a Execute tool in the LaunchFrame MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on cli_waitlist_deploy? +

Register the LaunchFrame MCP server in PolicyLayer and add a rule for cli_waitlist_deploy: 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 LaunchFrame MCP. Nothing to install.

What risk level is cli_waitlist_deploy? +

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

Can I rate-limit cli_waitlist_deploy? +

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

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

cli_waitlist_deploy is provided by the LaunchFrame MCP server (launchframe-dev/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.