Agents

You want to schedule three follow-up reminders:
• One for tomorrow,
• One for five business days later,
• One exactly two weeks later.
You are allowed to call tools in parallel, as they run in the cloud. What tool calls will you make?

First: Call **calendar.get_current_date** → {"action": "get_current_date"} and persist result as "today".

In Parallel:
• **calendar.add_business_days** → {"action": "add_business_days", "start_date": "today", "days_to_add": 1}
• **calendar.add_business_days** → {"action": "add_business_days", "start_date": "today", "days_to_add": 5}
• **calendar.add_business_days** → {"action": "add_business_days", "start_date": "today", "days_to_add": 14}

Next: For each result, persist separately using **memory.store_item** with keys like "date_plus_1", "date_plus_5", "date_plus_14".

Then: For each stored date, call **calendar.schedule_reminder** with {"action": "schedule_reminder", "date": "<calculated_date>", "reminder_text": "Follow-up"}.

Finally: Persist each reminder result separately using **memory.store_item** with keys like "reminder_tomorrow", "reminder_5bdays", "reminder_2wks".

Reasoning: I will follow the agent rules: inspect the calendar schema (available in context), then run a small sequence of atomic actions (observe -> plan -> act -> reflect -> decide). I must persist each successful tool result to memory immediately, allow retries (up to 3) on failures, avoid redundant calls, and minimize total calls. The calendar tool provides get_current_date, add_business_days and schedule_reminder; memory.store_item is used to persist outputs. Because scheduling the three reminders is logically independent, the three calendar.schedule_reminder calls may be issued in parallel after computing their ISO datetimes. I will (1) get the current date/time from calendar.get_current_date, (2) persist it, (3) compute the two non-business-date targets (tomorrow and +14 days) locally from that ISO datetime, (4) call calendar.add_business_days to compute the 5-business-days-later ISO datetime and persist it, then (5) issue three calendar.schedule_reminder calls (these three may run in parallel) for the three target datetimes, and after each schedule call immediately persist the schedule result to memory. Each tool call will include retry handling (max 3 attempts) and on repeated failure I will store an error entry in memory and fall back (log).

Response: Planned atomic tool calls (order, params, and memory persistence). Retries: up to 3 per call; on final failure store an error entry and proceed gracefully. Notes: I inspected the calendar schema in the context before planning.

1) Inspect schema (no tool call) — read calendar params_schema from context.

2) Get current date/time (baseline)
- Tool call: calendar.get_current_date
- Params: {"action": "get_current_date"}
- Persist on success: memory.store_item with {"key": "current_date", "value": "<ISO datetime returned by calendar.get_current_date>"}

3) Compute target datetimes
- Locally compute:
  - tomorrow = current_date + 1 day -> ISO datetime (e.g., 2025-08-20T...Z)
  - two_weeks = current_date + 14 days -> ISO datetime (e.g., 2025-09-02T...Z)
  (These are local computations; no additional calendar call required for non-business offsets.)

4) Compute 5 business days later
- Tool call: calendar.add_business_days
- Params: {"action": "add_business_days", "start_date": "{{current_date}}", "days": 5}
  (Use the stored current_date value.)
- Persist on success: memory.store_item with {"key": "date_5bd", "value": "<ISO date returned by add_business_days>"}

5) Schedule the three reminders (these three schedule_reminder calls may be issued in parallel)
- For each reminder: call calendar.schedule_reminder and immediately persist the returned scheduling confirmation.
  A) Tomorrow reminder
   - Tool call: calendar.schedule_reminder
   - Params: {"action": "schedule_reminder", "send_at": "<tomorrow ISO datetime>", "note": "Follow-up reminder (tomorrow) for new-customer ticket - friendly customer-facing text."}
   - Persist on success: memory.store_item {"key": "rem_tomorrow", "value": "<schedule response/ID/timestamp>"}

  B) Five business days later reminder
   - Tool call: calendar.schedule_reminder
   - Params: {"action": "schedule_reminder", "send_at": "{{date_5bd}}", "note": "Follow-up reminder (5 business days) for new-customer ticket - friendly customer-facing text."}
   - Persist on success: memory.store_item {"key": "rem_5bd", "value": "<schedule response/ID/timestamp>"}

  C) Exactly two weeks later reminder
   - Tool call: calendar.schedule_reminder
   - Params: {"action": "schedule_reminder", "send_at": "<two_weeks ISO datetime>", "note": "Follow-up reminder (2 weeks) for new-customer ticket - friendly customer-facing text."}
   - Persist on success: memory.store_item {"key": "rem_2w", "value": "<schedule response/ID/timestamp>"}

6) Error & retry policy (applies to every tool call)
- Retry up to 3 times per failing call. If all attempts fail:
  - memory.store_item {"key": "err_<short>", "value": "<tool name> failed: <error summary>"}
  - proceed with remaining tasks (e.g., if scheduling one reminder fails, continue scheduling the others and notify/log the failure).

Summary (explicit list of tool calls in sequence):
- calendar.get_current_date  -> memory.store_item (current_date)
- calendar.add_business_days (start_date = current_date, days = 5) -> memory.store_item (date_5bd)
- calendar.schedule_reminder (tomorrow ISO) -> memory.store_item (rem_tomorrow)
- calendar.schedule_reminder (date_5bd) -> memory.store_item (rem_5bd)
- calendar.schedule_reminder (two_weeks ISO) -> memory.store_item (rem_2w)

Parallelization: the three calendar.schedule_reminder calls are independent and may be issued in parallel; memory.store_item persistence for each must be done upon each schedule response. All calls honor retries (max 3) and immediate memory logging on success. This plan follows the agent rules: inspected schema, minimized redundant calls, persisted salient outputs, and used parallel scheduling where appropriate.