AI agents invoke focus_window to trigger actions in MCP Windows. 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.
Based on the tool name and server context, focus_window likely brings a window to the foreground/gives it focus, which is an external system operation affecting the Windows UI state. This falls under Execute as it triggers an external operation. Confidence is moderate due to empty description.
From the tool's definition Tool name 'focus_window' on a Windows integration server with sibling tools for window operations (close_window, minimize_window, get_foreground_window_info). The description is empty.
Documented attack patterns abuse exactly the kind of access focus_window gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Windows, and nothing reaches the server without passing your rules. This is the rule we recommend for focus_window:
{
"version": "1",
"default": "deny",
"tools": {
"focus_window": {
"limits": [
{
"counter": "focus_window_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}focus_window 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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focus_window. It is categorised as a Execute tool in the MCP Windows MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the MCP Windows MCP server in PolicyLayer and add a rule for focus_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 MCP Windows. Nothing to install.
focus_window 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 focus_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 focus_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.
focus_window is provided by the MCP Windows MCP server (secretiveshell/mcp-windows). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP Windows, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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28 MCP Windows tools catalogued and risk-classified — across an index of 43,000+ MCP servers.