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: The calendar tool returned tomorrow’s date as 2025-05-29. The flights tool requires date in YYYY-MM-DD, which matches. The user wants flights from London to Paris for that date. The most direct next step is to call the flights tool with from_city=London, to_city=Paris, date=2025-05-29. I will update the scratch pad to reflect this decision, set the next action, and refine remaining goals.

Response: Scratch Pad Update:
- Current step: Prepare and execute flight search via 'flights' tool.
- Next action: Call 'flights' tool with params {"from_city": "London", "to_city": "Paris", "date": "2025-05-29"}.
- Rationale: Date confirmed by calendar tool; format matches YYYY-MM-DD; tool is available.
- Expected outcome: List of available flights for 2025-05-29 London → Paris.
- Remaining goals:
  - Store the flights tool result in working memory for summary.
  - Compile and present concise options to the user (times, airlines, durations, prices if available).
- Notes:
  - If multiple airports are returned (e.g., LHR/LGW/LCY to CDG/ORY/BVA), capture specifics.
  - Use city names as accepted by tool; switch to airport codes if required by response context.
  - Ensure any price currency is noted if included.
- Progress: Step 3 of 4.