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

Input Tokens

3783

Output Tokens

864

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 requires listing all orders for a specific customer ID (`cust_42`). I need to examine the available tools to find the one responsible for order management data.
1. **Tool Identification:** The `database` tool is described as being for 'Read and update order-management data.'
2. **Method Selection:** The `database` tool offers a method called `list_orders`, which is specifically designed to list orders.
3. **Parameter Determination:** Consulting the `database` tool's schema for the `list_orders` action, I find that it requires two parameters: `action` (set to 'list_orders') and `customer_id`.
4. **Final Parameter Construction:** Using the provided customer ID, `cust_42`, the parameter object is constructed accordingly.

Response: The appropriate tool/method is `database` using the `list_orders` action.

The parameter object to send is:
```json
{
  "action": "list_orders",
  "customer_id": "cust_42"
}
```