start_ui_dive

SERVERNodebench SOURCEnodebench-mcp

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/io-github-homenshum-nodebench/start-ui-dive.md

WHAT IT DOES

What start_ui_dive does on Nodebench

AI agents invoke start_ui_dive to trigger actions in Nodebench. 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.

RISK

Why start_ui_dive is rated High

This tool programmatically controls a browser instance to visit arbitrary URLs and inspect/interact with web pages. While the primary purpose is UI analysis, launching and driving a browser is an Execute action—it triggers external operations (Playwright automation) whose side effects depend on the target URL.

From the tool's definition Auto-launches a headless Playwright browser, navigates to the app URL, auto-discovers page components from the DOM. These are external operations that execute browser automation code whose effects depend on the provided URL argument.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs start_ui_dive safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Nodebench, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For start_ui_dive, this is the rule to start with:

start_ui_dive Rate-limited

start_ui_dive stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "start_ui_dive": {
      "limits": [
        {
          "counter": "start_ui_dive_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Nodebench, apply this rule, and every start_ui_dive call is checked against it from then on.

FAQ

Questions about start_ui_dive

What does the start_ui_dive tool do? +

Initialize a UI/UX Full Dive session. Auto-launches a headless Playwright browser if installed (zero setup). Navigates to the app URL and optionally auto-discovers page components from the DOM. If Playwright is not installed, falls back to manual logging mode where you drive the browser yourself (via playwright-mcp, mobile-mcp, or manual browsing) and just use the dive tools for structured logging. Returns the session_id needed by all subsequent tools. It is categorised as a Execute tool in the Nodebench MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on start_ui_dive? +

Register the Nodebench MCP server in PolicyLayer and add a rule for start_ui_dive: 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 Nodebench. Nothing to install.

What risk level is start_ui_dive? +

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

Can I rate-limit start_ui_dive? +

Yes. Add a rate_limit block to the start_ui_dive 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 start_ui_dive completely? +

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

start_ui_dive is provided by the Nodebench MCP server (nodebench-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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