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

3613

Output Tokens

277

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 user wants to list all open orders for a specific customer with ID `cust_42`. I need to find a tool that can list orders and filter them by customer ID. Looking at the available tools, the 'database' tool has a method called 'list_orders' which seems appropriate. The schema for 'list_orders' requires a 'customer_id' parameter. I will use this method and pass 'cust_42' as the customer_id.

1. **Analyze the task:** The goal is to retrieve a list of open orders for a given customer ID.
2. **Identify the tool:** The 'database' tool has a 'list_orders' method. This method's schema indicates it takes a 'customer_id'.
3. **Determine parameters:** The customer ID provided in the task is 'cust_42'.
4. **Formulate the action:** Call the 'database' tool with the action 'list_orders' and the parameter 'customer_id' set to 'cust_42'.

Response: {"tool_code": "print(database.list_orders(customer_id='cust_42'))"}