Medium Risk

create_calculated_column

Create one or more new calculated columns for a dataset

How to control create_calculated_column ↓

What create_calculated_column does on Superset

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

Medium Risk

Why create_calculated_column needs a policy

This tool creates new calculated columns in a dataset, which modifies the dataset structure and adds derived data. This is a Write operation because it creates new data artifacts reversibly. Severity is medium because misconfigured calculated columns could affect analytics downstream, but the change is not destructive and does not involve code execution, financial operations, or external system commands.

From the tool's definition Tool name 'create_calculated_column' and description 'Create one or more new calculated columns for a dataset' both indicate data modification. The operation is reversible (columns can be deleted via 'delete_calculated_column').

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

How to control create_calculated_column

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

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

create_calculated_column 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 Superset — 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

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Questions about create_calculated_column

What does the create_calculated_column tool do? +

Create one or more new calculated columns for a dataset. It is categorised as a Write tool in the Superset 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_calculated_column? +

Register the Superset MCP server in PolicyLayer and add a rule for create_calculated_column: 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 Superset. Nothing to install.

What risk level is create_calculated_column? +

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

Can I rate-limit create_calculated_column? +

Yes. Add a rate_limit block to the create_calculated_column 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_calculated_column completely? +

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

create_calculated_column is provided by the Superset MCP server (winding2020/superset-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Superset tool call.

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

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