Turn the device screen on. Useful when the device has gone to sleep during automated testing.
AI agents invoke screen_on 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 an external operation on a physical/virtual Android device (turning the screen on). It causes a side effect on the device state but is reversible and low-impact — the screen can be turned off again. It fits Execute as it triggers an external device operation, with low severity since it merely wakes the screen.
From the tool's definition Turn the device screen on. Useful when the device has gone to sleep during automated testing.
Documented attack patterns abuse exactly the kind of access screen_on 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 screen_on:
{
"version": "1",
"default": "deny",
"tools": {
"screen_on": {
"limits": [
{
"counter": "screen_on_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} screen_on 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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Turn the device screen on. Useful when the device has gone to sleep during automated testing. 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 screen_on: 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.
screen_on 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 screen_on 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 screen_on. 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.
screen_on 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.