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

3777

Output Tokens

286

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: The user needs to find today's date to time-stamp a help-desk note. 
1.  **Analyze the Request:** The task is to find the current date. This is a date/time utility function.
2.  **Inspect Tools:** I need to look at the available tools in the context.
    *   `database`: For order/customer management, not date fetching.
    *   `email`: For communication, not date fetching.
    *   `calendar`: Has date & time utilities, including `get_current_date`.
    *   `user_input`: For customer interaction.
    *   `memory`: For temporary storage.
3.  **Select Tool and Parameters:** The `calendar` tool is appropriate. The method `get_current_date` requires no parameters.
4.  **Plan Action:** Call `calendar.get_current_date()` to retrieve the current date.
5.  **Reflection/Next Step (Anticipated):** Once the date is received, I must store it in memory as per rule 3/General Rules, and then present the tool call structure to the user as the required output of this turn.

Response: calendar.get_current_date()