Select an element on the page with Select tag
AI agents invoke playwright_select 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 action (selecting a dropdown/select element on a live web page), which constitutes an external operation with side effects depending on arguments. It is part of a browser automation suite that executes interactions in a real browser environment, placing it in the Execute category. Misuse could trigger form submissions, change application state, or manipulate web application behavior.
From the tool's definition 'Select an element on the page with Select tag' — triggers a browser UI interaction (selecting a form element) in a real browser environment
Documented attack patterns abuse exactly the kind of access playwright_select 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 playwright_select:
{
"version": "1",
"default": "deny",
"tools": {
"playwright_select": {
"limits": [
{
"counter": "playwright_select_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}playwright_select 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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Select an element on the page with Select tag. 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 playwright_select: 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.
playwright_select 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 playwright_select 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 playwright_select. 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.
playwright_select is provided by the Playwright MCP Server MCP server (pvinis/mcp-playwright-stealth). 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.
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29 Playwright MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.