browser_evaluate

Execute JavaScript in the page context and return the result.

Server Daytona Playwright MCP Server jamesmurdza/playwright-daytona-mcp-server
Category Execute
Risk class High
Parameters 00 required

What browser_evaluate does on Daytona Playwright MCP Server

AI agents invoke browser_evaluate to trigger actions in Daytona 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 allows arbitrary JavaScript execution in a browser context controlled by an MCP client. JavaScript can read sensitive data, modify DOM, trigger network requests, exfiltrate information, or perform any action the user account has permissions for on visited websites.

From the tool's definition Tool enables "Execute JavaScript in the page context" - arbitrary code execution within a browser environment.

Questions about browser_evaluate

What does the browser_evaluate tool do? +

Execute JavaScript in the page context and return the result. It is categorised as a Execute tool in the Daytona 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 Daytona 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 Daytona 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 Daytona Playwright MCP Server MCP server (jamesmurdza/playwright-daytona-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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