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
16s
Input Tokens
3371
Output Tokens
200
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 customer with ID 'cust_42'. The context provides descriptions of available tools and their methods. From the 'database' tool, the 'list_orders' method is appropriate since it allows listing orders for a specified customer_id. The required parameter for this method, based on the params_schema, is an object with 'action' set to 'list_orders' and 'customer_id' set to the desired customer ID. Other tools are unrelated to listing orders. Therefore, I choose the 'database' tool with the 'list_orders' method and parameters: {"action": "list_orders", "customer_id": "cust_42"}.

Response: I would use the 'database' tool with the 'list_orders' method. The parameter object to send is: {"action": "list_orders", "customer_id": "cust_42"}.