Low Risk

dive_preflight

Analyze a project BEFORE starting a UI dive. Scans the project directory to detect: framework (Vite, Next.js, CRA, etc.), dev scripts, required services (frontend, backend like Convex/Supabase/Firebase), port assignments, whether services are already running, route definitions from source code, a...

Part of the Nodebench server.

dive_preflight is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call dive_preflight to retrieve information from Nodebench without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though dive_preflight only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "dive_preflight": {}
  }
}

See the full Nodebench policy for all 724 tools.

Get this rule live on your own Nodebench server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access dive_preflight gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so dive_preflight only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the dive_preflight tool do? +

Analyze a project BEFORE starting a UI dive. Scans the project directory to detect: framework (Vite, Next.js, CRA, etc.), dev scripts, required services (frontend, backend like Convex/Supabase/Firebase), port assignments, whether services are already running, route definitions from source code, and environment requirements. Returns a structured launch plan the agent should follow to get the app running before navigating. This is always Step 0 of a dive.. It is categorised as a Read tool in the Nodebench MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on dive_preflight? +

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

dive_preflight is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit dive_preflight? +

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

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

dive_preflight 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.

Enforce policy on every Nodebench tool call.

Deterministic rules across all 724 Nodebench tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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