Get the current target window for automatic focus.
AI agents call get_target_window to retrieve information from Openowl without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a pure information-retrieval tool that queries the current UI state (which window has focus). It has no side effects, does not execute code or commands, does not modify data, and does not destroy or create anything. It is analogous to a 'get' or 'query' operation and falls squarely into the Read category.
From the tool's definition Tool name and description indicate it 'Get[s] the current target window' — a query operation that retrieves the state of which window is focused, with no modification, deletion, or execution of external operations.
Documented attack patterns abuse exactly the kind of access get_target_window gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Openowl, and nothing reaches the server without passing your rules. This is the rule we recommend for get_target_window:
{
"version": "1",
"default": "deny",
"tools": {
"get_target_window": {}
}
} get_target_window is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get the current target window for automatic focus. It is categorised as a Read tool in the Openowl MCP Server, which means it retrieves data without modifying state.
Register the Openowl MCP server in PolicyLayer and add a rule for get_target_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 Openowl. Nothing to install.
get_target_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_target_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_target_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_target_window is provided by the Openowl MCP server (mihir-kanzariya/openowl). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Openowl, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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40 Openowl tools catalogued and risk-classified — across an index of 43,000+ MCP servers.