create_scenario · Dataiku DSS MCP Server MCP: Risk & Policy

WHAT IT DOES

What create_scenario does on Dataiku DSS MCP Server

AI agents use create_scenario to create or update resources in Dataiku DSS MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Dataiku DSS MCP Server environment.

WHY IT NEEDS A POLICY

Why create_scenario needs a policy

This tool creates a new scenario resource, which is a reversible modification to the project structure. While scenarios can orchestrate potentially impactful operations once created and triggered, the create_scenario action itself is limited to initialization of the scenario object.

From the tool's definition Tool name 'create_scenario' and description 'Create a new scenario in a project' indicate creation of new data/objects. Scenarios in Dataiku DSS are workflow automation constructs that can trigger jobs, transformations, and other operations.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

create_scenario Rate-limited

create_scenario 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_scenario": {
      "limits": [
        {
          "counter": "create_scenario_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 Dataiku DSS MCP Server, so you can run agents against it safely.

FAQ

Questions about create_scenario

What does the create_scenario tool do? +

Create a new scenario in a project. It is categorised as a Write tool in the Dataiku DSS MCP Server 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_scenario? +

Register the Dataiku DSS MCP Server MCP server in PolicyLayer and add a rule for create_scenario: 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 Dataiku DSS MCP Server. Nothing to install.

What risk level is create_scenario? +

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

Can I rate-limit create_scenario? +

Yes. Add a rate_limit block to the create_scenario 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_scenario completely? +

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

create_scenario is provided by the Dataiku DSS MCP Server MCP server (steven0lisa/mcp-dataiku). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.