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
3s
Input Tokens
1120
Output Tokens
352
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 needs to find the cheapest flights from London to Paris for tomorrow and return the top 3 options. To complete this task, I need to:

1. Determine the date for 'tomorrow' using the calendar tool, specifically the `get_tomorrow_date` method, to ensure accurate flight search.
2. Use the flights tool with the `search_flights` method, providing 'London' as the `from_city`, 'Paris' as the `to_city`, and the date obtained from the calendar tool. I will set `max_results` to at least 3 to get the required number of options.
3. Since the task asks for the cheapest options, I may need to use `filter_by_price` or `sort_by_duration` if the initial result isn't price-sorted. However, `search_flights` likely returns results in a relevant order, so filtering/sorting might not be necessary.
4. Store the relevant flight results in memory using the memory tool to maintain state and avoid redundant searches.

The tools needed are:
- **calendar**: To accurately determine tomorrow's date.
- **flights**: To search for flights matching the criteria.
- **memory**: To store the search results as per instructions.

All three tools are available and required to complete the task systematically and efficiently while adhering to AgentX rules.

Response: I will need to use the following tools: 'calendar' to get tomorrow's date, 'flights' to search for the cheapest flights from London to Paris for that date, and 'memory' to store the results after retrieval.