Execute JavaScript in the browser and return the result. Useful for complex extractions.
AI agents invoke browser_evaluate to trigger actions in Mcp Browser. 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 permits execution of arbitrary JavaScript code with access to the browser's full API surface. An AI agent could use this to steal credentials, exfiltrate data, perform unauthorized transactions, manipulate page content, or chain attacks with other browser tools.
From the tool's definition Tool name 'browser_evaluate' combined with description 'Execute JavaScript in the browser and return the result' explicitly indicates arbitrary code execution capability.
Attacks that exploit this kind of access
Execute JavaScript in the browser and return the result. Useful for complex extractions. It is categorised as a Execute tool in the Mcp Browser MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Mcp Browser 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 Mcp Browser. 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 Mcp Browser MCP server (mehranakila56-ops/mcp-browser-server). 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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