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.

100
Duration
3s
Input Tokens
3386
Output Tokens
203
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 whose ID is `cust_42`. 

Step 1: Identify the correct tool and method. From the provided context, the `database` tool has a `list_orders` method specifically designed to list orders for a customer. This method requires the `customer_id` as a parameter.

Step 2: Construct the parameter object. Based on the schema, the `list_orders` method requires the `action` to be set to `list_orders` and the `customer_id` to be provided as `cust_42`.

Therefore, the correct choice is the `database` tool with the `list_orders` method, and the parameter object should include the customer ID `cust_42`.

Response: Choose the `database` tool's `list_orders` method.
Parameter object: {"action": "list_orders", "customer_id": "cust_42"}