Input Tokens
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Output Tokens
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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: Analyze: The user wants the cheapest flights London -> Paris for tomorrow and top 3 options. Available tools: calendar (date ops), flights (search/filter/get details), memory (store/retrieve). According to instructions I must: (1) always get available methods/params of a tool before using it, (2) limit retries to 3 and log failures, (3) store results in memory after every tool call, (4) avoid redundant identical calls, and (5) work in cycles: analyze, plan, act, reflect.
Plan (minimal, effective):
- Use calendar to get tomorrow's date (method: get_tomorrow_date). I will first retrieve the calendar tool's methods/params, then call get_tomorrow_date. Store the returned date in memory with a clear key (e.g., "date_tomorrow_london_paris").
- Use flights to search for flights from "London" to "Paris" on that date. Before calling, retrieve the flights tool's methods/params. Call flights.search_flights with from_city="London", to_city="Paris", date=<tomorrow>, and a reasonable max_results (e.g., 50) to capture options. Store the raw search results in memory with key (e.g., "flights_search_LON_PAR_<date>").
- Process the search results locally (agent-side) to sort by price and select the top 3 cheapest. If additional flight details are needed for any of the top 3 (e.g., fare breakdown, exact times), call flights.get_flight_details for those specific flight IDs; before calling, confirm available methods/params for flights (already done). After each flights.get_flight_details call, store the details in memory (e.g., "flight_details_<flight_id>").
- Return the top 3 options to the user, including price, carrier, departure/arrival times, duration, and booking reference or flight id if available. Also store the final top-3 summary in memory under a clear key (e.g., "top3_cheapest_LON_PAR_<date>").
Act plan considerations and rules compliance:
- Tools required: calendar, flights, memory. No other tools needed. I will not make repeated identical calls; each tool call will be purposeful. Each call will be preceded by fetching that tool's available methods/params (per rule 1). For each tool call I will allow up to 3 retries and will record/log any failure with an explanation (per rule 2). After every tool call I will call memory.store_item to save the result (per rule 3).
Reflect/next action: The next actionable steps (if executing) are: 1) query the calendar tool for methods and then call get_tomorrow_date; 2) query flights tool methods and call search_flights; 3) select top 3 locally and, if needed, call get_flight_details for each; 4) store each result in memory at each step. These steps satisfy chaining (calendar -> flights -> memory) and minimize calls.
Edge cases/logging: If calendar or flights tool fails, retry up to 3 times, store the error record in memory (e.g., "tool_error_calendar_<timestamp>") and explain the failure to the user. If search returns fewer than 3 results, return whatever is available and note that in the response and in memory.
Response: Tools I will need: calendar, flights, and memory.
Justification and planned method usage (in order):
1) calendar — inspect its methods/params, then call get_tomorrow_date to obtain the travel date. Store the result in memory (key example: "date_tomorrow_london_paris").
2) flights — inspect its methods/params, then call search_flights with from_city="London", to_city="Paris", date=<tomorrow>, max_results=50. Store the raw search results in memory (key example: "flights_search_LON_PAR_<date>"). Locally sort by price and pick the top 3 cheapest.
- If more detail is needed for any selected flight, call flights.get_flight_details for that flight id (inspecting methods/params first) and store each detail in memory (e.g., "flight_details_<flight_id>").
3) memory — after each tool call, use store_item with clear keys to save results and any error logs.
Operational rules I will follow: always fetch tool methods/params before using a tool; max 3 retries per tool call with logged failures; store results after every tool call; avoid redundant identical calls; chain tools as calendar -> flights -> memory.
That is the minimal, precise set of tools required and the sequence I will use to complete the user's request.