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
3414
Output Tokens
413
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: 1. Analyze: The task requires retrieving open orders for customer ID `cust_42`.
2. Plan: Use the `database` tool with `list_orders` method to fetch all orders for this customer, as it is designed to handle such requests.
3. Act: Call the `list_orders` method with the provided `customer_id`.

Response: I will use the `list_orders` method from the `database` tool. The parameter object to send is: { "action": "list_orders", "customer_id": "cust_42" }