Focus a window by title (partial match)
AI agents invoke desktop_window_focus to trigger actions in MCP Desktop Tools. 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.
Focusing a window triggers an external desktop operation that changes the active window state on the system. While not destructive or financially impactful, it executes a system-level action that can redirect user attention or enable subsequent automated interactions, warranting an Execute classification.
From the tool's definition Focus a window by title (partial match)
Attacks that exploit this kind of access
Focus a window by title (partial match). It is categorised as a Execute tool in the MCP Desktop Tools MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the MCP Desktop Tools MCP server in PolicyLayer and add a rule for desktop_window_focus: 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 Desktop Tools. Nothing to install.
desktop_window_focus 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 desktop_window_focus 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 desktop_window_focus. 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.
desktop_window_focus is provided by the MCP Desktop Tools MCP server (k1ta141k/mcp-desktop-tools). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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