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

3450

Output Tokens

450

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 requires listing all open orders for a specific customer (ID: cust_42). Looking at the available tools in the context, the 'database' tool has a method called 'list_orders' which is designed to retrieve orders for a given customer. According to its params_schema, the required parameters are: action (set to 'list_orders') and customer_id (set to 'cust_42'). This is the appropriate tool and method for this task.

Response: Tool: database
Method: list_orders
Parameter object: {"action": "list_orders", "customer_id": "cust_42"}