open_dive_dashboard

Open the NodeBench UI Dive dashboard in a browser. Shows the full flywheel cycle:

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/open-dive-dashboard.md

WHAT IT DOES

What open_dive_dashboard does on Nodebench

AI agents invoke open_dive_dashboard 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 open_dive_dashboard is rated High

This tool triggers an external browser action to open a UI dashboard. It executes a browser operation rather than merely reading or writing data. The blast radius is medium since it opens a browser window/tab on the user's system, which is a side-effectful operation but not destructive or financial.

From the tool's definition Open the NodeBench UI Dive dashboard in a browser

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs open_dive_dashboard 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 open_dive_dashboard, this is the rule to start with:

open_dive_dashboard Rate-limited

open_dive_dashboard 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": {
    "open_dive_dashboard": {
      "limits": [
        {
          "counter": "open_dive_dashboard_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 open_dive_dashboard call is checked against it from then on.

FAQ

Questions about open_dive_dashboard

What does the open_dive_dashboard tool do? +

Open the NodeBench UI Dive dashboard in a browser. Shows the full flywheel cycle:. 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 open_dive_dashboard? +

Register the Nodebench MCP server in PolicyLayer and add a rule for open_dive_dashboard: 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 open_dive_dashboard? +

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

Can I rate-limit open_dive_dashboard? +

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

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

open_dive_dashboard 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.

KEEP EXPLORING

More on Nodebench, and thousands of servers like it.

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Guides

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