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.

50
Duration
3s
Input Tokens
1336
Output Tokens
661
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's task, derived from the `trigger_content` in the context, is to find the cheapest flights from London to Paris for tomorrow and return the top 3 options. 

To achieve this, I need the following sequence of actions and corresponding tools:

1.  **Determine 'tomorrow's date'**: The flight search requires a specific date. Since the request is relative to 'tomorrow', I need to use the `calendar` tool, specifically the `get_tomorrow_date` method.
2.  **Search for flights**: Once the date is known, I need to use the `flights` tool, specifically the `search_flights` method, providing the origin ('London'), destination ('Paris'), and the date obtained from step 1.
3.  **Filter/Sort for cheapest top 3**: The requirement is to find the *cheapest* flights and return the *top 3 options*. The `flights` tool has `get_cheapest_option` and potentially could be used, but `search_flights` followed by sorting or filtering might be necessary depending on the tool's capabilities. However, to fulfill the requirement of 'cheapest flights' and 'top 3', using `search_flights` and then perhaps inferring the next step (which might be sorting/filtering or getting the top results directly if the search handles it) is the core action. Since the goal is the *cheapest*, after searching, the appropriate method to isolate the cheapest options is needed. The `flights` tool has `get_cheapest_option` and the `search_flights` method likely returns a list that can be acted upon. Given the goal is the 'top 3 cheapest', I will need the `flights` tool for searching and ordering/selecting the required results.
4.  **Memory Storage**: Following instruction 3, results from successful tool calls (like getting the date and searching flights) should be stored in memory.

Therefore, the required tools are:
*   `calendar`: To resolve 'tomorrow'.
*   `flights`: To search for the flights based on the date and criteria.

The `memory` tool is for internal state management based on results, not for solving the core domain problem (flights and dates), so it is not required to *successfully complete the task* of *finding* the flights, but rather an administrative step for the agent's process. The question asks which tools are needed to *successfully complete the task* (finding the flights). The primary operational tools are `calendar` and `flights`.

**Approach Summary:**
1.  Use `calendar` to get tomorrow's date.
2.  Use `flights` with London, Paris, and the date to search.
3.  Determine the top 3 cheapest results (implicitly handled by the `search_flights` if it supports limits, or the agent will need further steps not detailed here, but the operational tools needed are these two).

Response: calendar, flights