Opper

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.

Agents – mistral/mistral-small-eu Task | Opper AI

Input Tokens

49902

Output Tokens

6255

Duration

454487.384

Cost

0

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: After analyzing the task, I understand that I need to retrieve all open orders for a specific customer. According to the context, the 'database' tool with the 'list_orders' method is the appropriate choice for this task. The 'params_schema' for this method requires a 'customer_id' parameter, which I will include in the parameter object. Following rule 3, I will store the result of this operation in memory for future reference, if necessary.

Response: To list all open orders for the customer with ID 'cust_42', I will use the 'database' tool and call the 'list_orders' method. The parameter object I will send is {'action': 'list_orders', 'customer_id': 'cust_42'}.