AI agents invoke mouse_click to trigger actions in Playwright 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.
This tool performs a browser mouse click action at given coordinates. It is an Execute-category tool because it triggers browser interactions whose effects depend on what element is clicked — could submit forms, activate UI controls, navigate pages, or trigger other operations. The blast radius is medium since misuse could cause unintended UI interactions, but it is not inherently destructive or financial on its own.
From the tool's definition マウスクリックを実行します (executes a mouse click at specified coordinates)
Documented attack patterns abuse exactly the kind of access mouse_click gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Playwright MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for mouse_click:
{
"version": "1",
"default": "deny",
"tools": {
"mouse_click": {
"limits": [
{
"counter": "mouse_click_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}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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指定された座標でマウスクリックを実行します. It is categorised as a Execute tool in the Playwright MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Playwright MCP Server MCP server in PolicyLayer and add a rule for 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 Playwright MCP Server. Nothing to install.
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 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 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.
mouse_click is provided by the Playwright MCP Server MCP server (showfive/playwright-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Playwright MCP Server, 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.
9 Playwright MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.