build_dataset · Dataiku DSS MCP Server MCP: Risk & Policy

WHAT IT DOES

What build_dataset does on Dataiku DSS MCP Server

AI agents invoke build_dataset to trigger actions in Dataiku DSS MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why build_dataset needs a policy

Building a dataset executes code/transformations as defined in Dataiku recipes and scenarios. While not immediately destructive (the dataset still exists after), it triggers external computational operations that can have broad side effects: consuming computational resources, modifying derived datasets, triggering downstream jobs, and potentially failing or corrupting data if the pipeline has issues.

From the tool's definition Tool name 'build_dataset' combined with 'Build a dataset' description indicates triggering a computation/pipeline execution.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

build_dataset Rate-limited

build_dataset stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "build_dataset": {
      "limits": [
        {
          "counter": "build_dataset_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-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 build_dataset

What does the build_dataset tool do? +

Build a dataset. It is categorised as a Execute tool in the Dataiku DSS MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on build_dataset? +

Register the Dataiku DSS MCP Server MCP server in PolicyLayer and add a rule for build_dataset: 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 build_dataset? +

build_dataset is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit build_dataset? +

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

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

build_dataset 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.