Gets information about the currently active window.
AI agents call get_active_window to retrieve information from PyMCPAutoGUI without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves window metadata (title, geometry, or similar properties) about the active window. It performs no mutation, execution, or control action. Reading window information is a passive operation with minimal security risk even if an agent calls it repeatedly or maliciously.
From the tool's definition The tool 'Gets information about the currently active window' — a read-only query with no side effects or state changes.
Documented attack patterns abuse exactly the kind of access get_active_window gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and PyMCPAutoGUI, and nothing reaches the server without passing your rules. This is the rule we recommend for get_active_window:
{
"version": "1",
"default": "deny",
"tools": {
"get_active_window": {}
}
}get_active_window is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Gets information about the currently active window. It is categorised as a Read tool in the PyMCPAutoGUI MCP Server, which means it retrieves data without modifying state.
Register the PyMCPAutoGUI MCP server in PolicyLayer and add a rule for get_active_window: 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 PyMCPAutoGUI. Nothing to install.
get_active_window is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_active_window 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 get_active_window. 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.
get_active_window is provided by the PyMCPAutoGUI MCP server (kitfactory/pymcpautogui). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from PyMCPAutoGUI, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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34 PyMCPAutoGUI tools catalogued and risk-classified — across an index of 43,000+ MCP servers.