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

Input Tokens

3370

Output Tokens

628

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: The task is to list all open orders for a specific customer with ID 'cust_42'. I analyzed the available tools and determined that the 'database' tool is the most appropriate since it's designed for reading and updating order-management data. Within the database tool, I identified the 'list_orders' method as the one that can retrieve a customer's orders. According to the schema, this method requires two parameters: 'action' (which must be 'list_orders') and 'customer_id' (which should be 'cust_42' as specified in the task). Since the task specifically asks for the tool/method to choose and the parameter object to send, I've selected the database tool with the list_orders method and constructed the appropriate parameter object.

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