browser_evaluate

Evaluate JavaScript in the browser

Server Playwright MCP Server nolecram/build_mcp_server
Category Execute
Risk class High
Parameters 00 required

What browser_evaluate does on Playwright MCP Server

AI agents invoke browser_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.

Why browser_evaluate needs a policy

This tool runs arbitrary JavaScript in the browser, which can access DOM, cookies, localStorage, make network requests, exfiltrate data, or perform any action the browser is capable of. Arbitrary code execution in a browser context is a critical risk with unlimited blast radius.

From the tool's definition "Evaluate JavaScript in the browser" — executes arbitrary JavaScript code in the browser context

Questions about browser_evaluate

What does the browser_evaluate tool do? +

Evaluate JavaScript in the browser. 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 browser_evaluate? +

Register the Playwright MCP Server MCP server in PolicyLayer and add a rule for browser_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 browser_evaluate? +

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

Can I rate-limit browser_evaluate? +

Yes. Add a rate_limit block to the browser_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 browser_evaluate completely? +

Set action: deny in the PolicyLayer policy for browser_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 browser_evaluate? +

browser_evaluate is provided by the Playwright MCP Server MCP server (nolecram/build_mcp_server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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