Run JavaScript
AI agents invoke browser_evaluate to trigger actions in Browser Pool. 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 executes arbitrary JavaScript in a browser session, which is a classic Execute category action. The blast radius is high because JavaScript execution can modify DOM, steal data, submit forms, exfiltrate information, or trigger unintended side effects depending on the website context and agent reasoning.
From the tool's definition Tool name 'browser_evaluate' with description 'Run JavaScript' indicates arbitrary code execution in a browser context.
Attacks that exploit this kind of access
Run JavaScript. It is categorised as a Execute tool in the Browser Pool MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Browser Pool 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 Browser Pool. Nothing to install.
browser_evaluate 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 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.
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.
browser_evaluate is provided by the Browser Pool MCP server (omgeverdo/browser-pool-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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