AI agents invoke drag_and_drop 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 drag-and-drop browser automation actions, which constitutes executing external browser operations. The effects depend on the target page and elements involved. It sits in the Execute category as it triggers real browser interactions that can modify UI state or trigger application logic, but is not inherently destructive or financial.
From the tool's definition ドラッグアンドドロップ操作を実行します ("Executes drag and drop operations") — triggers browser interaction actions
Documented attack patterns abuse exactly the kind of access drag_and_drop 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 drag_and_drop:
{
"version": "1",
"default": "deny",
"tools": {
"drag_and_drop": {
"limits": [
{
"counter": "drag_and_drop_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}drag_and_drop 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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ドラッグアンドドロップ操作を実行します. 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 drag_and_drop: 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.
drag_and_drop 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 drag_and_drop 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 drag_and_drop. 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.
drag_and_drop 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.