Move mouse to a given position
AI agents invoke browser_move_mouse to trigger actions in Limetest 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.
Moving the mouse is a browser action that triggers external operations in the browser environment. While low-impact on its own, it represents execution of a browser interaction that could be part of a larger automated sequence. Severity is low as mouse movement alone rarely causes harm without subsequent clicks or actions.
From the tool's definition Move mouse to a given position
Attacks that exploit this kind of access
Move mouse to a given position. It is categorised as a Execute tool in the Limetest MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Limetest MCP Server MCP server in PolicyLayer and add a rule for browser_move_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 Limetest MCP Server. Nothing to install.
browser_move_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 browser_move_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 browser_move_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.
browser_move_mouse is provided by the Limetest MCP Server MCP server (m2rads/limetest-arch). 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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