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

3613

Output Tokens

807

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 open orders for a specific customer. I will examine the provided tools to find one that can fulfill this requirement.

1.  **Identify relevant tool:** The 'database' tool is described as being able to 'Read and update order-management data'. This is the most suitable tool for querying orders.
2.  **Identify relevant method:** Within the 'database' tool, I look at the available methods: 'get_order', 'update_order_address', 'get_customer', 'list_orders', 'write_note'. The 'list_orders' method directly matches the task's requirement to 'list all open orders'.
3.  **Determine parameters:** I then check the `params_schema` for the 'database' tool, specifically for the 'list_orders' action. The schema indicates that `list_orders` requires an `action` (which will be 'list_orders') and a `customer_id`. The task specifies the customer ID as `cust_42`.

Therefore, the chosen tool/method is 'database.list_orders', and the parameter object will include the action and the customer ID.

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