Update dashboard properties and/or embedded configuration in a single request. Provide at least one of dashboard or embedded_config.
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.
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:
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:
{
"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.
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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.
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.
update_dashboard_config is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
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.
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.
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.
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.