AI agents invoke click_mouse to trigger actions in Macinput. 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.
Mouse clicking triggers UI interactions on the desktop — buttons, links, menus, confirmations — whose effects depend entirely on what is under the cursor at execution time. This can chain into any downstream action (file deletion, form submission, purchases, etc.), making it an Execute-category tool with high severity due to the broad blast radius of unintended clicks in a desktop GUI automation context.
From the tool's definition Click at the current cursor location or at explicit coordinates
Attacks that exploit this kind of access
Click at the current cursor location or at explicit coordinates. It is categorised as a Execute tool in the Macinput MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Macinput MCP server in PolicyLayer and add a rule for click_mouse: 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 Macinput. Nothing to install.
click_mouse 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_mouse 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_mouse. 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_mouse is provided by the Macinput MCP server (sigma711/macinput). 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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