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.

Duration

17s

Input Tokens

3594

Output Tokens

675

Cost

$0.01

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 list all orders for a specific customer, I need a method that retrieves orders filtered by customer ID. The provided tools include a 'database' tool with a 'list_orders' method. Its schema requires an 'action' of 'list_orders' and a 'customer_id' string. The method description indicates it lists orders for the given customer, which matches the task. Although the task specifies 'open' orders, the method does not have a status filter; I would call 'list_orders' with the customer ID and then filter the results for open statuses in the next step. Therefore, the appropriate call is to use the 'database' tool with method 'list_orders' and parameter object {'action': 'list_orders', 'customer_id': 'cust_42'}.

Response: I would use the 'database' tool with the 'list_orders' method. The parameter object to send is: {"action": "list_orders", "customer_id": "cust_42"}.