create_project · Pypi:pypreset MCP: Risk & Policy

WHAT IT DOES

What create_project does on Pypi:pypreset

AI agents use create_project 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 create_project needs a policy

The tool creates new project structures from presets, which is a reversible write operation (files can be deleted, directories removed, or re-scaffolded). While the description is empty, the server's stated purpose and the tool's name clearly indicate file/directory creation. This is Write rather than Execute because it doesn't run arbitrary code—it simply instantiates templated project files.

From the tool's definition Tool name 'create_project' on a scaffolding server that 'Scaffold[s] Python projects from YAML presets' indicates creation of new project files and directories.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

create_project Rate-limited

create_project 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": {
    "create_project": {
      "limits": [
        {
          "counter": "create_project_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 create_project

What does the create_project tool do? +

create_project. 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 create_project? +

Register the Pypi:pypreset MCP server in PolicyLayer and add a rule for create_project: 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 create_project? +

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

Can I rate-limit create_project? +

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

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

create_project 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.