Low Risk

list_datasets

Retrieves a list of all datasets in Superset. Supports powerful filtering, sorting, and pagination. You can specify which columns to return, making it efficient for fetching just the needed information.

How to control list_datasets ↓

What list_datasets does on Superset

AI agents call list_datasets to retrieve information from Superset without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why list_datasets needs a policy

This tool only queries and returns dataset metadata without creating, modifying, deleting, or executing anything. It is a straightforward read operation that retrieves information from Superset's inventory. The filtering and pagination are query parameters for data retrieval, not modifications. Even if an AI agent misuses this tool, it can only access information already present in Superset, posing minimal risk.

From the tool's definition Tool name 'list_datasets' and description 'Retrieves a list of all datasets in Superset' with 'filtering, sorting, and pagination' capabilities indicate pure data retrieval with no side effects.

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

How to control list_datasets

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 list_datasets:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "list_datasets": {}
  }
}

list_datasets is read-only, so it stays allowed — but 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.
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Related tools and policies

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Questions about list_datasets

What does the list_datasets tool do? +

Retrieves a list of all datasets in Superset. Supports powerful filtering, sorting, and pagination. You can specify which columns to return, making it efficient for fetching just the needed information. It is categorised as a Read tool in the Superset MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on list_datasets? +

Register the Superset MCP server in PolicyLayer and add a rule for list_datasets: 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 list_datasets? +

list_datasets is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit list_datasets? +

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

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

list_datasets 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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31 Superset tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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