Medium Risk

ensure_demo_program

Create a reusable demo script with an intentional bug for debugging walkthroughs.

How to control ensure_demo_program ↓

What ensure_demo_program does on Mcp Debugpy

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

Medium Risk

Why ensure_demo_program needs a policy

This tool creates a new file/script artifact for demonstration purposes. Creating files is a Write operation because it generates new data that is reversible (the file can be edited or deleted separately). The security impact is low since the tool creates a benign demo script with an intentional bug for educational debugging walkthroughs, not arbitrary or malicious code.

From the tool's definition Tool creates a demo script: 'Create a reusable demo script'. The description uses 'Create', indicating data creation rather than querying (Read), execution (Execute), or deletion (Destructive).

Documented attack patterns abuse exactly the kind of access ensure_demo_program gives an agent:

How to control ensure_demo_program

PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp Debugpy, and nothing reaches the server without passing your rules. This is the rule we recommend for ensure_demo_program:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "ensure_demo_program": {
      "limits": [
        {
          "counter": "ensure_demo_program_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

ensure_demo_program 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.

  1. Create a free account and register Mcp Debugpy — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
LIMIT THIS TOOL →

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Related tools and policies

Go deeper

Questions about ensure_demo_program

What does the ensure_demo_program tool do? +

Create a reusable demo script with an intentional bug for debugging walkthroughs. It is categorised as a Write tool in the Mcp Debugpy MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on ensure_demo_program? +

Register the Mcp Debugpy MCP server in PolicyLayer and add a rule for ensure_demo_program: 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 Mcp Debugpy. Nothing to install.

What risk level is ensure_demo_program? +

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

Can I rate-limit ensure_demo_program? +

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

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

ensure_demo_program is provided by the Mcp Debugpy MCP server (markomanninen/mcp-debugpy). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Mcp Debugpy tool call.

Start from Mcp Debugpy, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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16 Mcp Debugpy tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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