Move mouse to target coordinates via the backend Playwright page.
AI agents invoke humanizer_move to trigger actions in Proxy. 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.
This tool triggers a browser action (mouse movement) through Playwright, which constitutes executing an external operation. While mouse movement alone has limited direct impact, it can be part of automated interaction sequences in a MITM proxy context, enabling manipulation of browser state. Severity is medium due to potential for misuse in automated attack chains.
From the tool's definition Move mouse to target coordinates via the backend Playwright page
Documented attack patterns abuse exactly the kind of access humanizer_move gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Proxy, and nothing reaches the server without passing your rules. This is the rule we recommend for humanizer_move:
{
"version": "1",
"default": "deny",
"tools": {
"humanizer_move": {
"limits": [
{
"counter": "humanizer_move_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} humanizer_move 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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Move mouse to target coordinates via the backend Playwright page. It is categorised as a Execute tool in the Proxy MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Proxy MCP server in PolicyLayer and add a rule for humanizer_move: 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 Proxy. Nothing to install.
humanizer_move 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 humanizer_move 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 humanizer_move. 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.
humanizer_move is provided by the Proxy MCP server (yfe404/proxy-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Proxy, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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