Medium Risk

update_dashboard_config

Update dashboard properties and/or embedded configuration in a single request. Provide at least one of dashboard or embedded_config.

How to control update_dashboard_config ↓

What update_dashboard_config does on Superset

AI agents use update_dashboard_config 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 update_dashboard_config needs a policy

This tool creates or modifies dashboard configurations reversibly. It updates properties and embedded settings, which can be changed again or reverted. This is a Write operation (create/modify data reversibly) rather than Read (no side effects), Execute (runs code/commands), Destructive (irreversible deletion), or Financial.

From the tool's definition Tool name 'update_dashboard_config' and description 'Update dashboard properties and/or embedded configuration' indicates modification of existing data structures without deletion or irreversible changes.

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

How to control update_dashboard_config

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 update_dashboard_config:

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

update_dashboard_config 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 update_dashboard_config

What does the update_dashboard_config tool do? +

Update dashboard properties and/or embedded configuration in a single request. Provide at least one of dashboard or embedded_config. 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 update_dashboard_config? +

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

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

Can I rate-limit update_dashboard_config? +

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

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

update_dashboard_config 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.

Free to start. No card required.

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

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