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

35s

Input Tokens

3480

Output Tokens

223

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 with ID `cust_42`. Given the context, there is a tool named 'database' which has a method called 'list_orders'. This method is suitable for retrieving the list of orders.

To use this method, we need to specify the action as 'list_orders' and provide the customer_id parameter as 'cust_42'.

Here are the steps:
1. Identify the tool/method: The 'database' tool with the 'list_orders' method is appropriate for this task.
2. Identify the parameters: The action is 'list_orders' and the customer_id is 'cust_42'.
3. Execute the method with the identified parameters.

Response: The tool/method chosen is 'database' with the 'list_orders' method. The parameter object sent would be: {'action': 'list_orders', 'customer_id': 'cust_42'}