Execute arbitrary JavaScript code in the context of a browser tab. Returns the result of the execution. Use with caution.
AI agents invoke execute_js to trigger actions in Chrome Extension MCP Bridge. 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.
Arbitrary code execution in a browser tab is a dangerous capability. An AI agent with access to execute_js can extract sensitive data (credentials, tokens, PII), perform unauthorized actions on behalf of the user, redirect to phishing sites, exfiltrate information, or manipulate page content. While not directly destructive or financial, the blast radius is critical because the agent controls what code runs.
From the tool's definition Tool explicitly executes arbitrary JavaScript code in browser context. Description states 'Execute arbitrary JavaScript code' and warns 'Use with caution.' This enables injection and execution of code with access to page DOM, cookies, local storage, and…
Attacks that exploit this kind of access
Execute arbitrary JavaScript code in the context of a browser tab. Returns the result of the execution. Use with caution. It is categorised as a Execute tool in the Chrome Extension MCP Bridge MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Chrome Extension MCP Bridge MCP server in PolicyLayer and add a rule for execute_js: 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 Chrome Extension MCP Bridge. Nothing to install.
execute_js 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 execute_js 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 execute_js. 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.
execute_js is provided by the Chrome Extension MCP Bridge MCP server (ivoglent/chrome-mcp-bridge). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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