AI agents invoke mouse_drag to trigger actions in OODA Computer Control. 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 drag is a browser/desktop UI action that can move files, resize windows, select content, or trigger drag-and-drop operations. Effects depend on the on-screen context and cannot always be undone, but the action itself is best classified as Execute since it performs an interactive operation rather than purely destroying data or moving money.
From the tool's definition "Drag from one position to another" — triggers a mouse drag action on the computer, a physical UI interaction with external effects.
Documented attack patterns abuse exactly the kind of access mouse_drag gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and OODA Computer Control, and nothing reaches the server without passing your rules. This is the rule we recommend for mouse_drag:
{
"version": "1",
"default": "deny",
"tools": {
"mouse_drag": {
"limits": [
{
"counter": "mouse_drag_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}mouse_drag 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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Drag from one position to another. It is categorised as a Execute tool in the OODA Computer Control MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the OODA Computer Control MCP server in PolicyLayer and add a rule for mouse_drag: 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 OODA Computer Control. Nothing to install.
mouse_drag 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 mouse_drag 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 mouse_drag. 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.
mouse_drag is provided by the OODA Computer Control MCP server (mnehmos/mnehmos.ooda.mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from OODA Computer Control, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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99 OODA Computer Control tools catalogued and risk-classified — across an index of 43,000+ MCP servers.