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

3426

Output Tokens

368

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 task asks for today's date to time‑stamp a help‑desk note. Among the provided tools, only the **calendar** tool includes date‑related methods. Its schema shows a method called `get_current_date` that requires a single parameter: `action` set to the string "get_current_date". No additional parameters are needed. Therefore, the appropriate tool to call is the `calendar` tool with the minimal required payload.

Steps:
1. Identify the tool with date utilities → calendar.
2. Locate the method that returns the current date → get_current_date.
3. Check its params_schema: it requires only `{ "action": "get_current_date" }`.
4. Formulate the tool call accordingly.

No further context or memory actions are required for this simple query.

Response: Tool: **calendar**
Method: `get_current_date`
Parameters: `{ "action": "get_current_date" }`