Agents

You have decided to call the flight tool, update the scratch pad

The scratch pad is updated with the new action, example model_output: Current step: Called 'flights' tool with parameters (from_city: London, to_city: Paris, date: 2025-05-29); waiting for tool result.
Remaining goals:
- Receive and process the flight search result.
- Summarize available flight options and present them to the user.
Notes:
- Ensure the result includes key details (flight numbers, times, prices if available).
- Store the raw flight result in working memory for reference.
- Prepare final summary once results are in.
Progress: Step 3 of 4.

Reasoning: I read the context: the calendar tool returned '2025-05-29' for tomorrow. The user wants available flights London -> Paris for that date. The flights tool requires from_city, to_city, and date in YYYY-MM-DD format. 2025-05-29 already matches that format. The most direct next action is to call the 'flights' tool with from_city='London', to_city='Paris', date='2025-05-29'. After the tool returns, I will store the flight search result in working memory, then compile and present the options to the user. I will update the scratch pad to reflect that I'm initiating the flights tool call and advance progress from Step 2 to Step 3.

Response: Action: Call the 'flights' tool with the following parameters:
{
  "from_city": "London",
  "to_city": "Paris",
  "date": "2025-05-29"
}

Updated scratch_pad:
- Current step: Call flights tool with params above and await results.
- Pre-checks: Date confirmed in YYYY-MM-DD format ('2025-05-29'). Required tool fields satisfied.
- Remaining goals:
  - Use 'flights' tool to get available flights from London to Paris for 2025-05-29.
  - Store flight search result in working memory for summary.
  - Compile and present the results to the user.
- Notes: Will parse tool output, save to working memory, then format a clear summary for the user.
- Progress: Step 3 of 4.

Proceeding to call the flights tool now.