Click on a UI element using its label from get_desktop_state. More reliable than mouse_click for UI automation. Use the label number from the desktop state.
AI agents invoke click_element to trigger actions in Windows MCP Server. 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.
Clicking UI elements can trigger virtually any action in any application — submitting forms, confirming deletions, launching programs, authorizing transactions. The effect is entirely dependent on what element is targeted, making this a general-purpose Execute-class tool with high blast radius when misused by an AI agent operating autonomously on a Windows PC.
From the tool's definition 'Click on a UI element using its label from get_desktop_state' and 'More reliable than mouse_click for UI automation' — triggers UI interactions on the Windows desktop that can invoke arbitrary application actions depending on which element is clicked.
Attacks that exploit this kind of access
Click on a UI element using its label from get_desktop_state. More reliable than mouse_click for UI automation. Use the label number from the desktop state. It is categorised as a Execute tool in the Windows MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Windows MCP Server MCP server in PolicyLayer and add a rule for click_element: 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 Windows MCP Server. Nothing to install.
click_element 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 click_element 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 click_element. 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.
click_element is provided by the Windows MCP Server MCP server (romeo2badboy-rgb/windows-mcp). 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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