AI agents call superset_rls_get to retrieve information from MCP Superset without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves RLS (Row-Level Security) rule metadata by identifier. It performs a simple read/query operation with no side effects, no code execution, and no data modification. RLS rules are configuration data; reading them poses minimal risk since the sensitivity depends on what the RLS rules protect, but the tool itself only retrieves existing information without executing or modifying anything.
From the tool's definition Tool name and description indicate retrieval operation: 'Get detailed information about an RLS rule by ID' with no modification, deletion, or execution capability.
Documented attack patterns abuse exactly the kind of access superset_rls_get gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Superset, and nothing reaches the server without passing your rules. This is the rule we recommend for superset_rls_get:
{
"version": "1",
"default": "deny",
"tools": {
"superset_rls_get": {}
}
}superset_rls_get is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get detailed information about an RLS rule by ID. It is categorised as a Read tool in the MCP Superset MCP Server, which means it retrieves data without modifying state.
Register the MCP Superset MCP server in PolicyLayer and add a rule for superset_rls_get: 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 MCP Superset. Nothing to install.
superset_rls_get is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the superset_rls_get 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 superset_rls_get. 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.
superset_rls_get is provided by the MCP Superset MCP server (mcp-superset). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP 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.
137 MCP Superset tools catalogued and risk-classified — across an index of 43,000+ MCP servers.