Execute JavaScript in the browser context (see browser_docs)
AI agents invoke browser_evaluate to trigger actions in Browser 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.
The tool executes arbitrary JavaScript code in a live browser context, which can perform any browser-accessible operation: DOM manipulation, API calls, localStorage/cookie access, navigation, event triggering, and more. This is a classic Execute category tool because outcomes depend on the script supplied by the user/agent.
From the tool's definition Tool description states 'Execute JavaScript in the browser context' — this directly runs code with effects determined by the arguments passed.
Attacks that exploit this kind of access
Execute JavaScript in the browser context (see browser_docs). It is categorised as a Execute tool in the Browser MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Browser 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 Browser MCP Server. 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 MCP Server MCP server (madebytokens/browser-mcp-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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