New Your team’s decisions, in one playbook every coding agent works from. Never answer your agent twice

browser_eval

Execute JavaScript in the browser and return the result.

SERVERTermux Browser Pilot SOURCEsalviz/termux-browser-pilot
High RISK CLASS
Category Execute
Parameters 00 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/salviz-termux-browser-pilot/browser-eval.md

What browser_eval does on Termux Browser Pilot

AI agents invoke browser_eval to trigger actions in Termux Browser Pilot. 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_eval is rated High

This tool executes arbitrary JavaScript code in a live browser context, which can perform any action the browser permits: data exfiltration, credential theft, navigation to malicious sites, form submission, DOM manipulation, and interaction with web services. The blast radius is substantial if an AI agent crafts malicious JavaScript payloads.

From the tool's definition Tool name 'browser_eval' and description 'Execute JavaScript in the browser and return the result' explicitly indicate arbitrary code execution capability.

Questions about browser_eval

What does the browser_eval tool do? +

Execute JavaScript in the browser and return the result. It is categorised as a Execute tool in the Termux Browser Pilot 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_eval? +

Register the Termux Browser Pilot MCP server in PolicyLayer and add a rule for browser_eval: 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 Termux Browser Pilot. Nothing to install.

What risk level is browser_eval? +

browser_eval is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit browser_eval? +

Yes. Add a rate_limit block to the browser_eval 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_eval completely? +

Set action: deny in the PolicyLayer policy for browser_eval. 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_eval? +

browser_eval is provided by the Termux Browser Pilot MCP server (salviz/termux-browser-pilot). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on Termux Browser Pilot, and thousands of servers like it.

// THE MCP REGISTRY

PolicyLayer tracks 44,603 MCP servers and 515,000+ tools.

Every server has a live record: who publishes it, whether it answers without auth, its risk grade, every tool classified, the recommended policy. This page is one line of Termux Browser Pilot's. Pull the full record:

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.