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
15s
Input Tokens
3371
Output Tokens
228
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: I first analyze the context and instructions. The goal is to list all open orders for customer ID `cust_42`. The provided context includes access to several tools, of which the 'database' tool has a method called 'list_orders' that requires a 'customer_id' parameter, based on its param schema. No method exists specifically for filtering by 'open' status, but typically, 'list_orders' for a given customer will return all their orders (potentially with status fields in the result that could be filtered after retrieval). According to the instructions, I need to inspect the tool schema first, which I have done, confirming the required parameters. The correct atomic action, per cycle rules, is to issue a single tool call using the 'database' tool's 'list_orders' method with 'customer_id' set to 'cust_42'.

Response: Tool: database
Method: list_orders
Parameter object:
{
  "action": "list_orders",
  "customer_id": "cust_42"
}