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
17s
Input Tokens
3358
Output Tokens
472
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: Let me analyze the task and context to determine the best approach for listing all open orders for customer ID 'cust_42'. The task requires identifying the appropriate tool and method to retrieve order information for a specific customer, along with the parameter object to be sent.

Step 1: Analyze the context. The context provides a detailed list of available tools, including 'database', 'email', 'calendar', 'user_input', and 'memory'. Each tool has specific methods and parameter schemas. For retrieving order data, the 'database' tool seems most relevant as it includes methods like 'get_order' and 'list_orders'.

Step 2: Plan the action. According to the instructions, I must inspect the tool's schema to understand the required parameters before invoking any tool. The 'database' tool's method 'list_orders' is specifically designed to retrieve orders for a given customer ID, which matches the task requirement. The schema for 'list_orders' requires an 'action' parameter set to 'list_orders' and a 'customer_id' parameter.

Step 3: Decide on the tool and parameters. Based on the schema, the tool to use is 'database' with the method 'list_orders'. The parameter object should include 'action': 'list_orders' and 'customer_id': 'cust_42'. As per the general rules in the instructions, I will ensure to store the result in memory after a successful call, but for now, I am just defining the approach.

Step 4: Reflect on efficiency and correctness. Using 'list_orders' directly addresses the task with minimal tool calls, aligning with the efficiency rule. No other tools like 'email' or 'user_input' are necessary at this stage since the task is purely about data retrieval.

Step 5: Finalize the response. The chosen tool is 'database', the method is 'list_orders', and the parameter object is clearly defined as per the schema.

Response: I choose the 'database' tool with the 'list_orders' method to retrieve all open orders for the customer with ID 'cust_42'. The parameter object to send is: {'action': 'list_orders', 'customer_id': 'cust_42'}.