reload_app · Rn Debug MCP: Risk & Policy

WHAT IT DOES

What reload_app does on Rn Debug

AI agents invoke reload_app to trigger actions in Rn Debug. 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 reload_app needs a policy

This tool triggers an external operation (reloading a React Native app via Metro bundler or ADB), which is an active execution action affecting a running application session. It doesn't simply read data, and while it can be re-run, it disrupts the current app state. The ADB fallback indicates it can interact with Android devices directly, increasing the blast radius slightly.

From the tool's definition Reload the active app session via Metro, with ADB fallback

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

reload_app Rate-limited

reload_app 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": {
    "reload_app": {
      "limits": [
        {
          "counter": "reload_app_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 Rn Debug, so you can run agents against it safely.

FAQ

Questions about reload_app

What does the reload_app tool do? +

Reload the active app session via Metro, with ADB fallback. It is categorised as a Execute tool in the Rn Debug MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on reload_app? +

Register the Rn Debug MCP server in PolicyLayer and add a rule for reload_app: 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 Rn Debug. Nothing to install.

What risk level is reload_app? +

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

Can I rate-limit reload_app? +

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

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

reload_app is provided by the Rn Debug MCP server (rn-debug-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.