run_benchmark_batch

Run a longitudinal benchmark batch. N=1 is a smoke test (1 founder, 1 session).

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/run-benchmark-batch.md

WHAT IT DOES

What run_benchmark_batch does on Nodebench

AI agents invoke run_benchmark_batch 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 run_benchmark_batch is rated High

This tool runs a benchmark batch operation, which is code execution that performs computations and generates results. It accepts parameters that control execution scope and behavior, making it an Execute-category tool. Severity is high because uncontrolled benchmark execution could consume significant computational resources, impact system performance, or generate large amounts of data.

From the tool's definition run_benchmark_batch: 'Run a longitudinal benchmark batch' — the tool executes a batch benchmark operation with configurable parameters (N=1 for smoke test).

Attacks that exploit this kind of access

RECOMMENDED RULE

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

run_benchmark_batch Rate-limited

run_benchmark_batch 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": {
    "run_benchmark_batch": {
      "limits": [
        {
          "counter": "run_benchmark_batch_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 run_benchmark_batch call is checked against it from then on.

FAQ

Questions about run_benchmark_batch

What does the run_benchmark_batch tool do? +

Run a longitudinal benchmark batch. N=1 is a smoke test (1 founder, 1 session). 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 run_benchmark_batch? +

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

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

Can I rate-limit run_benchmark_batch? +

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

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

run_benchmark_batch 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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