run_experiment

A execute tool on the Livepilot MCP server.

SERVERLivepilot SOURCElivepilot

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-dreamrec-livepilot/run-experiment.md

WHAT IT DOES

What run_experiment does on Livepilot

AI agents invoke run_experiment to trigger actions in Livepilot. 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_experiment is rated High

The name 'run_experiment' strongly suggests code execution or triggering of external operations. In the context of a music production copilot, this likely means running algorithmic tests, DSP experiments, or automation sequences on live audio/MIDI. Without a description, confidence is moderate, but the verb 'run' combined with 'experiment' places it in Execute rather than Write or Read.

From the tool's definition Tool name 'run_experiment' combined with server context (AI copilot for Ableton Live music production). No description provided; assessed based on naming and sibling tools.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs run_experiment safely

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

run_experiment Rate-limited

run_experiment 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_experiment": {
      "limits": [
        {
          "counter": "run_experiment_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 Livepilot, apply this rule, and every run_experiment call is checked against it from then on.

FAQ

Questions about run_experiment

What does the run_experiment tool do? +

run_experiment is a execute tool on the Livepilot MCP server. It is categorised as a Execute tool in the Livepilot 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_experiment? +

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

What risk level is run_experiment? +

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

Can I rate-limit run_experiment? +

Yes. Add a rate_limit block to the run_experiment 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_experiment completely? +

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

run_experiment is provided by the Livepilot MCP server (livepilot). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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