AUTO-FIX: Connects to a Fabric Warehouse and applies fixes for detected issues.
AI agents invoke warehouse_fix to trigger actions in Force Fabric 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.
The tool actively connects to a Fabric Warehouse and applies fixes, which constitutes executing operations against an external system. While framed as 'fixes,' the changes made are non-trivial modifications to warehouse configurations or data structures. The scope is broad (fixing 'detected issues' across a warehouse) and could have significant side effects.
From the tool's definition AUTO-FIX: Connects to a Fabric Warehouse and applies fixes for detected issues.
Documented attack patterns abuse exactly the kind of access warehouse_fix gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Force Fabric MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for warehouse_fix:
{
"version": "1",
"default": "deny",
"tools": {
"warehouse_fix": {
"limits": [
{
"counter": "warehouse_fix_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} warehouse_fix 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.
Free to start. No card required.
AUTO-FIX: Connects to a Fabric Warehouse and applies fixes for detected issues. It is categorised as a Execute tool in the Force Fabric MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Force Fabric MCP Server MCP server in PolicyLayer and add a rule for warehouse_fix: 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 Force Fabric MCP Server. Nothing to install.
warehouse_fix 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 warehouse_fix 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 warehouse_fix. 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.
warehouse_fix is provided by the Force Fabric MCP Server MCP server (tmdaidevs/force-fabric-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Force Fabric 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.
33 Force Fabric MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.