Launch an Android application by its package name with optional wait for the app to appear in foreground
AI agents invoke start_app to trigger actions in MCP Android Agent. 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 triggers external operations (app launch) on an Android device with effects that depend on the arguments provided (which app package to launch). While launching a benign app poses low risk, the ability to programmatically launch arbitrary applications—including malicious ones, background services, or apps that trigger financial transactions—makes this an Execute category tool.
From the tool's definition Tool description states it will "Launch an Android application by its package name" - this is direct execution of operations on a device whose effects depend on which app is specified as an argument.
Documented attack patterns abuse exactly the kind of access start_app gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Android Agent, and nothing reaches the server without passing your rules. This is the rule we recommend for start_app:
{
"version": "1",
"default": "deny",
"tools": {
"start_app": {
"limits": [
{
"counter": "start_app_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} start_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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Launch an Android application by its package name with optional wait for the app to appear in foreground. It is categorised as a Execute tool in the MCP Android Agent MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the MCP Android Agent MCP server in PolicyLayer and add a rule for start_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 MCP Android Agent. Nothing to install.
start_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 start_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 start_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.
start_app is provided by the MCP Android Agent MCP server (nim444/mcp-android-server-python). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 28 MCP Android Agent tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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28 MCP Android Agent tools catalogued and risk-classified — across an index of 42,500+ MCP servers.