Agents

AI agent reasoning and tool selection tests planning, tool choice, and self-diagnosis capabilities. These skills are crucial for autonomous ticket triage systems and complex agent workflows where models must decide which tools to use, plan multi-step processes, and diagnose when things go wrong. This represents some of the most challenging tasks as they require open-ended reasoning and decision-making.

100
Duration
22s
Input Tokens
3370
Output Tokens
761
Cost
$0.00
Context
Input
You need to list all open orders for a specific customer whose ID is `cust_42`. Which tool/method do you choose and what parameter object do you send?
Expected output
Use the **database** tool with parameters {"action": "list_orders", "customer_id": "cust_42"}.
Model output
Reasoning: To find a customer’s open orders, use the database tool with its list_orders method, passing the required parameters (action = list_orders, and customer_id = cust_42). This matches the tool’s schema and will retrieve the customer’s orders.

Response: Use the 'database' tool and call the 'list_orders' action with the parameter object: {"action": "list_orders", "customer_id": "cust_42"}.