Wait for a specific Android activity to appear on the screen. Useful for navigation verification and app state validation.
AI agents invoke wait_activity 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 automated actions on an Android device in response to UI state conditions. While it doesn't directly modify data or run arbitrary code, it orchestrates device control flow—a hallmark of Execute category tools. The high severity reflects that an agent could use this to automate sequences of actions with uncontrolled side effects, particularly when chained with other tools like click() or drag().
From the tool's definition Tool description states 'Wait for a specific Android activity to appear on the screen' with purpose of 'navigation verification and app state validation'.
Documented attack patterns abuse exactly the kind of access wait_activity 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 wait_activity:
{
"version": "1",
"default": "deny",
"tools": {
"wait_activity": {
"limits": [
{
"counter": "wait_activity_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} wait_activity 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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Wait for a specific Android activity to appear on the screen. Useful for navigation verification and app state validation. 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 wait_activity: 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.
wait_activity 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 wait_activity 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 wait_activity. 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.
wait_activity 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.