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

1336

Output Tokens

837

Cost

$0.00

Context

Input

Of the available tools. Which ones will you need to use to successfully complete the task?

Expected output

All tools will need to be used: calendar, flights,memory

Model output

Reasoning: The user task is to find the three cheapest flights from London to Paris for tomorrow.

1.  **Determine the Date:** The task requires identifying 'tomorrow's date. This necessitates the use of the `calendar` tool, specifically the `get_tomorrow_date` method.
2.  **Search for Flights:** Once the date is known, the core operation of searching for flights between London and Paris must be performed. This requires the `flights` tool, specifically the `search_flights` and potentially the `filter_by_price` methods to fulfill the 'cheapest' and 'top 3 options' requirement.
3.  **Adherence to Instructions:** The instructions mandate that the agent must 'Always store meaningful results in memory using the memory tool.' Therefore, the `memory` tool is essential for storing the determined date and the retrieved flight options.

All three tools (`calendar`, `flights`, and `memory`) are required to successfully complete the task while adhering to all operational instructions.

Response: The tools needed to successfully complete the task are: `calendar`, `flights`, and `memory`.