set_params · Patchwork Deepmind MCP: Risk & Policy

WHAT IT DOES

What set_params does on Patchwork Deepmind

AI agents invoke set_params to trigger actions in Patchwork Deepmind. 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.

WHY IT NEEDS A POLICY

Why set_params needs a policy

This tool sends batched NRPN MIDI messages to control synthesizer hardware parameters in real-time. It triggers external operations (MIDI output to physical hardware) whose effects depend on the arguments passed. While not destructive to data, it actively manipulates hardware state.

From the tool's definition Set multiple DeepMind parameters efficiently in one call (batched NRPN)

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

set_params Rate-limited

set_params 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": {
    "set_params": {
      "limits": [
        {
          "counter": "set_params_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Patchwork Deepmind, so you can run agents against it safely.

FAQ

Questions about set_params

What does the set_params tool do? +

Set multiple DeepMind parameters efficiently in one call (batched NRPN). Each entry accepts value, rawValue, or label — same as set_param. It is categorised as a Execute tool in the Patchwork Deepmind MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on set_params? +

Register the Patchwork Deepmind MCP server in PolicyLayer and add a rule for set_params: 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 Patchwork Deepmind. Nothing to install.

What risk level is set_params? +

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

Can I rate-limit set_params? +

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

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

set_params is provided by the Patchwork Deepmind MCP server (truthanb/patchwork-deepmind). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.