Refreshes a dataset
AI agents invoke refresh_dataset_schema to trigger actions in Superset. 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.
Refreshing a dataset schema triggers an external operation that re-syncs or reloads metadata/schema from the underlying data source. This is not a simple read, nor does it irreversibly delete data, but it executes an action with potential side effects (e.g., dropping inferred columns, updating schema definitions). Classified as Execute.
From the tool's definition 'Refreshes a dataset' — triggers an external operation (schema refresh) against an existing dataset
Documented attack patterns abuse exactly the kind of access refresh_dataset_schema 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 refresh_dataset_schema:
{
"version": "1",
"default": "deny",
"tools": {
"refresh_dataset_schema": {
"limits": [
{
"counter": "refresh_dataset_schema_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} refresh_dataset_schema 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.
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Refreshes a dataset. It is categorised as a Execute tool in the Superset MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Superset MCP server in PolicyLayer and add a rule for refresh_dataset_schema: 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.
refresh_dataset_schema is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the refresh_dataset_schema 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 refresh_dataset_schema. 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.
refresh_dataset_schema 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.
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31 Superset tools catalogued and risk-classified — across an index of 43,000+ MCP servers.