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

12s

Input Tokens

1399

Output Tokens

654

Cost

$0.01

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 wants to find the cheapest flights from London to Paris for tomorrow and return the top 3 options. Let me analyze what tools are needed:

1. **Calendar tool**: I need to get tomorrow's date first, since the user said 'for tomorrow'. I need the actual date to pass to the flights search.

2. **Flights tool**: I need to search for flights from London to Paris using tomorrow's date, then filter/sort by price to get the cheapest options, specifically the top 3.

3. **Memory tool**: Per the instructions, I must store meaningful results in memory after every tool call. So I'll store the date result and the flight results.

All three tools are needed:
- **calendar**: to get tomorrow's date
- **flights**: to search and filter flights by price
- **memory**: to store results after each tool call (mandatory per instructions)

Response: To successfully complete this task, I will need to use **all three available tools**:

### 1. 🗓️ `calendar` tool
- **Why**: The user said "for tomorrow" — I need to resolve the actual date for tomorrow before searching flights.
- **Methods to use**: `get_tomorrow_date` to retrieve the exact date string needed for the flight search.

### 2. ✈️ `flights` tool
- **Why**: This is the core tool for finding the cheapest flights from London to Paris.
- **Methods to use**:
  - `search_flights` — to search available flights from London to Paris on tomorrow's date.
  - `filter_by_price` or `get_cheapest_option` — to sort/filter results by price and extract the top 3 cheapest options.
- **Params**: `from_city: "London"`, `to_city: "Paris"`, `date: <tomorrow's date>`, `max_results: 3`

### 3. 🧠 `memory` tool
- **Why**: Per the agent rules, meaningful results must be stored in memory after every tool call.
- **Methods to use**: `store_item` to save:
  - The resolved tomorrow's date (e.g., key: `tomorrow_date`)
  - The top 3 cheapest flight results (e.g., key: `top_3_cheapest_flights_london_paris`)

### Execution Chain:
```
calendar.get_tomorrow_date → memory.store_item (date)
  → flights.search_flights + filter_by_price → memory.store_item (top 3 results)
  → return final answer to user
```

All 3 tools are required and will be chained in that logical order.