AI agents invoke android_launch_app to trigger actions in MCP Prompts 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.
Launching arbitrary apps on an Android device is an Execute action—it triggers external operations beyond the MCP server's direct control, with side effects determined by the launched application. The blast radius is high because a compromised agent could launch malicious apps, access sensitive functionality, or trigger unexpected device behavior.
From the tool's definition Tool name 'android_launch_app' and description 'Launch an app on Android device' indicate execution of an external operation (app launch) whose effects depend on which app is specified as an argument.
Documented attack patterns abuse exactly the kind of access android_launch_app gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Prompts Server, and nothing reaches the server without passing your rules. This is the rule we recommend for android_launch_app:
{
"version": "1",
"default": "deny",
"tools": {
"android_launch_app": {
"limits": [
{
"counter": "android_launch_app_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}android_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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Launch an app on Android device. It is categorised as a Execute tool in the MCP Prompts Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the MCP Prompts Server MCP server in PolicyLayer and add a rule for android_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 MCP Prompts Server. Nothing to install.
android_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 android_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 android_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.
android_launch_app is provided by the MCP Prompts Server MCP server (sparesparrow/mcp-prompts). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 51 MCP Prompts Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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51 MCP Prompts Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.