Force stop an Android application by its package name. Useful for closing apps that are misbehaving or for testing app restart scenarios.
AI agents invoke stop_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.
While app termination is technically reversible (apps can be relaunched), this tool executes a command that forcibly stops a running process—a form of code/system execution. This differs from simple data retrieval (Read) or reversible data modification (Write). The tool allows an AI agent to trigger arbitrary app terminations based on user input, making it an Execute-class action.
From the tool's definition The tool 'force stop[s] an Android application' through explicit command execution that triggers external system operations (Android app termination) whose effects depend on the package name argument provided.
Documented attack patterns abuse exactly the kind of access stop_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 stop_app:
{
"version": "1",
"default": "deny",
"tools": {
"stop_app": {
"limits": [
{
"counter": "stop_app_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} stop_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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Force stop an Android application by its package name. Useful for closing apps that are misbehaving or for testing app restart scenarios. 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 stop_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.
stop_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 stop_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 stop_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.
stop_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.