High Risk →

playwright_evaluate

Execute JavaScript in the browser console

How to control playwright_evaluate ↓

What playwright_evaluate does on Playwright MCP Server

AI agents invoke playwright_evaluate 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.

High Risk

Why playwright_evaluate needs a policy

Executing arbitrary JavaScript in a real browser is a quintessential Execute operation. An AI agent misusing this tool could steal credentials, exfiltrate data from web pages, perform unauthorized actions on behalf of the user, redirect navigation, inject malware, or compromise session security. The blast radius is high because the agent has full programmatic control over the page context.

From the tool's definition Tool description states 'Execute JavaScript in the browser console' — this directly runs arbitrary code in a browser environment with access to the DOM, cookies, local storage, and network requests.

Documented attack patterns abuse exactly the kind of access playwright_evaluate gives an agent:

How to control playwright_evaluate

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_evaluate:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "playwright_evaluate": {
      "limits": [
        {
          "counter": "playwright_evaluate_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

playwright_evaluate 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.

  1. Create a free account and register Playwright MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
RATE-LIMIT THIS TOOL →

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Related tools and policies

Go deeper

Questions about playwright_evaluate

What does the playwright_evaluate tool do? +

Execute JavaScript in the browser console. 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.

How do I enforce a policy on playwright_evaluate? +

Register the Playwright MCP Server MCP server in PolicyLayer and add a rule for playwright_evaluate: 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.

What risk level is playwright_evaluate? +

playwright_evaluate is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit playwright_evaluate? +

Yes. Add a rate_limit block to the playwright_evaluate 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.

How do I block playwright_evaluate completely? +

Set action: deny in the PolicyLayer policy for playwright_evaluate. 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.

What MCP server provides playwright_evaluate? +

playwright_evaluate 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.

Enforce policy on every Playwright MCP Server tool call.

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.

29 Playwright MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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