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sandbox_batch

Execute multiple commands, index all outputs, and run multiple search queries — all in ONE call. This is the highest-efficiency tool: one sandbox_batch replaces N sandbox_execute calls + M sandbox_search calls. Use for research phases, multi-file analysis, or any task requiring multiple data sour...

Part of the Nodebench server.

sandbox_batch can trigger actions in Nodebench, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke sandbox_batch to trigger processes or run actions in Nodebench. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

sandbox_batch can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "sandbox_batch": {
      "limits": [
        {
          "counter": "sandbox_batch_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

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 sandbox_batch 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 sandbox_batch only ever does what you allow.

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Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the sandbox_batch tool do? +

Execute multiple commands, index all outputs, and run multiple search queries — all in ONE call. This is the highest-efficiency tool: one sandbox_batch replaces N sandbox_execute calls + M sandbox_search calls. Use for research phases, multi-file analysis, or any task requiring multiple data sources.. 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 sandbox_batch? +

Register the Nodebench MCP server in PolicyLayer and add a rule for sandbox_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 sandbox_batch? +

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

Can I rate-limit sandbox_batch? +

Yes. Add a rate_limit block to the sandbox_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 sandbox_batch completely? +

Set action: deny in the PolicyLayer policy for sandbox_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 sandbox_batch? +

sandbox_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.

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.

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

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