set_user_config · Pypi:pypreset MCP: Risk & Policy

WHAT IT DOES

What set_user_config does on Pypi:pypreset

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

WHY IT NEEDS A POLICY

Why set_user_config needs a policy

The 'set_' prefix combined with 'user_config' indicates a write operation that creates or modifies configuration data. No evidence of deletion (would be Destructive), code execution (would be Execute), or financial impact. The empty description lowers confidence slightly, but the naming convention and sibling tools (augment_project, create_project, set_project_metadata) establish a clear Write pattern.

From the tool's definition Tool name 'set_user_config' indicates modification of user configuration state. Server context shows tools that scaffold and augment projects, suggesting this modifies stored user preferences or settings.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

set_user_config Rate-limited

set_user_config 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_user_config": {
      "limits": [
        {
          "counter": "set_user_config_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 Pypi:pypreset, so you can run agents against it safely.

FAQ

Questions about set_user_config

What does the set_user_config tool do? +

set_user_config. It is categorised as a Write tool in the Pypi:pypreset 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_user_config? +

Register the Pypi:pypreset MCP server in PolicyLayer and add a rule for set_user_config: 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 Pypi:pypreset. Nothing to install.

What risk level is set_user_config? +

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

Can I rate-limit set_user_config? +

Yes. Add a rate_limit block to the set_user_config 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_user_config completely? +

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

set_user_config is provided by the Pypi:pypreset MCP server (KaiErikNiermann/pypreset). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.