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

3451

Output Tokens

783

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 customer ID 'cust_42'. Looking at the available tools and their methods in the context, the 'database' tool has a 'list_orders' method that is specifically designed to retrieve orders for a given customer. According to the schema, this method requires two parameters: 'action' (which must be set to 'list_orders') and 'customer_id' (set to the target customer ID). This is the appropriate tool/method because: (1) it directly addresses the requirement to list orders, (2) it uses the customer_id parameter to filter by the specific customer, and (3) it's part of the database tool which handles order-management data as described in the context.

Response: Tool/Method: database.list_orders
Parameter Object: {"action": "list_orders", "customer_id": "cust_42"}