set_param · Patchwork Deepmind MCP: Risk & Policy

WHAT IT DOES

What set_param does on Patchwork Deepmind

AI agents use set_param to create or update resources in Patchwork Deepmind — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Patchwork Deepmind environment.

WHY IT NEEDS A POLICY

Why set_param needs a policy

This tool modifies synthesizer parameters in real-time via MIDI NRPN. It writes/updates state on the hardware device. While this is reversible (parameters can be reset or changed again), misuse could cause undesired audio output changes, potentially disruptive in a live performance context. It does not permanently delete data or move money, so Write is the appropriate category.

From the tool's definition 'Set a DeepMind parameter by structured name' with 'value (normalized 0..1), rawValue (raw integer), or label (enum string)'

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

set_param Rate-limited

set_param stays usable, but capped — an agent stuck in a loop can't make hundreds of changes 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_param": {
      "limits": [
        {
          "counter": "set_param_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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_param

What does the set_param tool do? +

Set a DeepMind parameter by structured name. Provide exactly one of: value (normalized 0..1), rawValue (raw integer), or label (enum string like. It is categorised as a Write tool in the Patchwork Deepmind MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on set_param? +

Register the Patchwork Deepmind MCP server in PolicyLayer and add a rule for set_param: 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_param? +

set_param is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit set_param? +

Yes. Add a rate_limit block to the set_param 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_param completely? +

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

set_param 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.