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
10s
Input Tokens
4198
Output Tokens
314
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 this task step by step:

1. Task Understanding:
   - Need to list all open orders for customer ID 'cust_42'
   - Must choose the appropriate tool and construct correct parameters

2. Tool Analysis:
   - Looking at available tools in the context
   - The 'database' tool has a 'list_orders' method
   - Checking the params_schema for 'list_orders':
     * Requires 'action' and 'customer_id' parameters
     * Action must be 'list_orders'
     * customer_id must be a string

3. Parameter Construction:
   - Need to create an object with:
     * action: 'list_orders'
     * customer_id: 'cust_42'

4. Selection Decision:
   - The database tool with 'list_orders' method is the perfect fit
   - It directly provides the functionality we need
   - No need for additional tools or transformations

Response: I would use the 'database' tool with the following parameter object:

{
  "action": "list_orders",
  "customer_id": "cust_42"
}