Launches an application on a connected Android device
AI agents invoke launch_app to trigger actions in Android ADB 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.
This tool runs commands on an Android device to start application execution. While not destructive by itself, launching arbitrary apps can have significant side effects—including accessing sensitive data, initiating network requests, triggering financial transactions, or performing other device operations depending on app behavior and permissions.
From the tool's definition Tool description states it 'Launches an application on a connected Android device'. Launching an app executes code and triggers external operations on a device whose effects depend on which app is launched and its permissions.
Documented attack patterns abuse exactly the kind of access launch_app gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Android ADB MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for launch_app:
{
"version": "1",
"default": "deny",
"tools": {
"launch_app": {
"limits": [
{
"counter": "launch_app_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} launch_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.
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Launches an application on a connected Android device. It is categorised as a Execute tool in the Android ADB MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Android ADB MCP Server MCP server in PolicyLayer and add a rule for launch_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 Android ADB MCP Server. Nothing to install.
launch_app is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the launch_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.
Set action: deny in the PolicyLayer policy for launch_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.
launch_app is provided by the Android ADB MCP Server MCP server (landicefu/android-adb-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Android ADB MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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10 Android ADB MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.