AI agents invoke stop_sql_warehouse to trigger actions in Databricks MCP Server. 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.
Stopping a SQL warehouse is an operational action that disrupts running queries and services, making it Execute rather than Write. While not permanently destructive (warehouses can be restarted), the action has immediate blast radius—it interrupts active work, affects dependent processes, and impacts availability for other users. The severity is high due to the potential for business disruption.
From the tool's definition Tool name 'stop_sql_warehouse' and description 'Stop a SQL warehouse' indicate the tool triggers an external operation (stopping warehouse infrastructure) whose effects depend on arguments (which warehouse to stop).
Documented attack patterns abuse exactly the kind of access stop_sql_warehouse gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Databricks MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for stop_sql_warehouse:
{
"version": "1",
"default": "deny",
"tools": {
"stop_sql_warehouse": {
"limits": [
{
"counter": "stop_sql_warehouse_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}stop_sql_warehouse 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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Stop a SQL warehouse. It is categorised as a Execute tool in the Databricks MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Databricks MCP Server MCP server in PolicyLayer and add a rule for stop_sql_warehouse: 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 Databricks MCP Server. Nothing to install.
stop_sql_warehouse 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 stop_sql_warehouse 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 stop_sql_warehouse. 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.
stop_sql_warehouse is provided by the Databricks MCP Server MCP server (pulkitxchadha/awesome-databricks-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Databricks MCP Server, 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.
86 Databricks MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.