MOUSE INTERACTION: Click at specific screen coordinates to interact with buttons, links, and UI elements. Use with inspect_viewport to find clickable elements and their positions. Essential for testing UI interactions.
AI agents invoke send_mouse_click to trigger actions in Scenic MCP. 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 executes a mouse click action at specified screen coordinates in a running application. It triggers external UI interactions whose effects depend on what element is at those coordinates — could submit forms, trigger navigation, activate controls, etc. The effects are context-dependent and driven by arguments, placing it firmly in the Execute category.
From the tool's definition 'Click at specific screen coordinates to interact with buttons, links, and UI elements' and 'Essential for testing UI interactions'
Documented attack patterns abuse exactly the kind of access send_mouse_click gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Scenic MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for send_mouse_click:
{
"version": "1",
"default": "deny",
"tools": {
"send_mouse_click": {
"limits": [
{
"counter": "send_mouse_click_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} send_mouse_click 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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MOUSE INTERACTION: Click at specific screen coordinates to interact with buttons, links, and UI elements. Use with inspect_viewport to find clickable elements and their positions. Essential for testing UI interactions. It is categorised as a Execute tool in the Scenic MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Scenic MCP server in PolicyLayer and add a rule for send_mouse_click: 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 Scenic MCP. Nothing to install.
send_mouse_click 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 send_mouse_click 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 send_mouse_click. 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.
send_mouse_click is provided by the Scenic MCP server (scenic-contrib/scenic_mcp_experimental). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Scenic MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
10 Scenic MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.