hub_smart_route

Use Llama AI to intelligently route requests to the best service

Server Llama Maverick Hub MCP Server yobieben/llama-maverick-hub-mcp
Category Execute
Risk class High
Parameters 00 required

What hub_smart_route does on Llama Maverick Hub MCP Server

AI agents invoke hub_smart_route to trigger actions in Llama Maverick Hub 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.

Why hub_smart_route needs a policy

This tool acts as an intelligent orchestrator that routes requests to external services based on AI decision-making. While it doesn't directly execute code or delete data itself, it coordinates execution across multiple high-impact services (financial payments via Stripe, repository operations via GitHub, database modifications).

From the tool's definition Tool description states it uses 'Llama AI to intelligently route requests' to multiple services including financial (Stripe), code (GitHub), and database services.

Questions about hub_smart_route

What does the hub_smart_route tool do? +

Use Llama AI to intelligently route requests to the best service. It is categorised as a Execute tool in the Llama Maverick Hub MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on hub_smart_route? +

Register the Llama Maverick Hub MCP Server MCP server in PolicyLayer and add a rule for hub_smart_route: 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 Llama Maverick Hub MCP Server. Nothing to install.

What risk level is hub_smart_route? +

hub_smart_route is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit hub_smart_route? +

Yes. Add a rate_limit block to the hub_smart_route 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.

How do I block hub_smart_route completely? +

Set action: deny in the PolicyLayer policy for hub_smart_route. 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.

What MCP server provides hub_smart_route? +

hub_smart_route is provided by the Llama Maverick Hub MCP Server MCP server (yobieben/llama-maverick-hub-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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