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
4021
Output Tokens
239
Cost
$0.00
Context
Input
You must find today's date so you can time-stamp a help-desk note. Which tool do you call and with what parameters?
Expected output
Use the **calendar** tool with parameters {"action": "get_current_date"}.
Model output
Reasoning: 
    1. **Task Analysis**: The user requires today's date to timestamp a help-desk note. This is a date retrieval task.
    2. **Tool Inspection**: The `calendar` tool offers `get_current_date`, which returns the current date without requiring parameters.
    3. **Parameter Validation**: No parameters are needed for `get_current_date` (confirmed via schema).
    4. **Execution Plan**:
       - Call `calendar.get_current_date` to fetch the date.
       - Store the result in memory (key: `current_date`) for future reference (Rule 3).
    5. **Fallback Handling**: If the call fails, retry up to 3 times (Rule 2) before escalating or logging the error.
    

Response: Call the `calendar` tool with the following parameters: {"action": "get_current_date"}. This will retrieve today's date for timestamping the help-desk note. After successful retrieval, store the date in memory using the key `current_date`.