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

26s

Input Tokens

4738

Output Tokens

320

Cost

$0.00

Context

Input

After calling database.get_customer with customer_id 'CUST789', you received: {\"customer_id\":\"CUST789\",\"name\":\"Sarah Chen\",\"email\":\"sarah.chen@email.com\",\"account_status\":\"active\"}. You stored this with key 'customer_info'. Then database.list_orders with customer_id 'CUST789' returned: {\"orders\":[],\"message\":\"No orders found for customer\"}. You stored this with key 'customer_orders'. The customer claims they have an ongoing purchase needing address change. How should you handle this discrepancy and what is your next action?

Expected output

Reasoning: There's a discrepancy - customer claims ongoing purchase but 'customer_orders' shows no orders found. This could indicate: wrong customer ID, order under different account, or customer confusion. I need to gather more information before proceeding. Next action: Call email.draft_email to politely ask Sarah Chen to provide her order number or confirmation email, explaining we need to locate her order to assist with the address change.

Model output

Reasoning: 1. **Understanding the Error**: The output schema requires the `response` field to be a string, but I provided a structured tool invocation object. This violates the schema. I need to adjust my output to comply with the schema while still achieving the task.

2. **Re-evaluating the Task**: The goal is to handle the discrepancy where the customer claims an ongoing purchase but no orders are found in the system. The next logical step is to clarify with the customer by asking for details about the order.

3. **Schema Compliance**: Since the `response` field must be a string, I will:
   - Provide a clear, concise summary of the next action as the `response`.
   - Use the `reasoning` field to explain the thought process and planned tool invocation.

4. **Next Action**: I will ask the customer for the order ID or details via the `user_input` tool, but I will describe this action in the `response` string rather than providing the tool invocation object.

5. **Final Answer**: The `response` will describe the immediate next step in natural language, while the `reasoning` will include the detailed plan and tool invocation logic.

Response: To resolve the discrepancy, I will ask the customer to provide the order ID or details of their ongoing purchase. This will help locate the order in the system so we can update the shipping address as requested.