Opper

Input Tokens

Output Tokens

Duration

Cost

Context

Input

You need to send a follow-up confirmation email exactly two business days from now at 09:00. List the tool sequence and key parameters you would pass to the tool call.

Expected output

1 **calendar.get_current_date** → {"action": "get_current_date"}
1b **memory.store_item** → {"action": "store_item", "key": "current_date", "value": "<current_date_result>"}
2 **calendar.add_business_days** → {"action": "add_business_days", "start_date": "<current_date>", "days_to_add": 2}
2b **memory.store_item** → {"action": "store_item", "key": "target_date", "value": "<result_from_add_business_days>"}
3 **calendar.format_date** → {"action": "format_date", "date": "<target_date>T09:00:00", "format": "YYYY-MM-DDTHH:mm:ssZ"}
3b **memory.store_item** → {"action": "store_item", "key": "formatted_send_time", "value": "<formatted_datetime_result>"}
4 **email.draft_email** → {"action": "draft_email", "to": "<customer_email>", "subject": "Address Update Confirmation", "body": "<confirmation_message>"}
4b **memory.store_item** → {"action": "store_item", "key": "draft_id", "value": "<draft_email_id>"}
5 **email.schedule_email** → {"action": "schedule_email", "draft_id": "<draft_id>", "send_at": "<formatted_send_time>"}
5b **memory.store_item** → {"action": "store_item", "key": "scheduled_email", "value": "Email scheduled for <formatted_send_time>"}

Model output

Reasoning: 1) Analyze: The user requests a follow-up confirmation email to be sent exactly two business days from now at 09:00. Current system date (provided) is 2025-08-07. I must follow the agent rules: inspect schemas first, minimize calls, persist salient outputs to memory after each successful tool call, allow up to 3 retries, avoid exposing DB IDs in email bodies, and schedule the email using the email tool.

2) Plan (high level):
   - Inspect calendar schema (metadata) to confirm available methods and parameter requirements.
   - Use calendar.add_business_days(start_date=2025-08-07, days_to_add=2) to compute the target send date (skip weekends).
   - Draft the follow-up email (email.draft_email) with a customer-friendly body (no raw DB IDs).
   - Schedule the drafted email to send at 09:00 on the computed business-date (email.schedule_email with send_at in ISO-8601).
   - Write an internal database note (database.write_note) recording the scheduled follow-up.
   - After each successful tool call, store salient outputs in memory (memory.store_item) using short descriptive keys.
   - For each tool call allow up to 3 retries and log/store any persistent errors.

3) Compute target send date: Starting date 2025-08-07 (Thursday). Add 2 business days => 2025-08-11 (Monday). Desired send time: 09:00. I will express send_at in ISO-8601 UTC unless system local tz is required. Final send_at: 2025-08-11T09:00:00Z.

4) Cycle discipline: Each action above would be executed as a single tool call per cycle; after each successful call I'll immediately call memory.store_item to persist outputs (e.g., current_date, target_date, draft_id, scheduled_info). I will not duplicate calls or request data already stored.

5) Error handling: If any tool fails after 3 attempts, I will store the error in memory (key like sched_error) and fall back to notifying an agent or logging the failure.

6) Privacy note: The email body must not contain raw database IDs; the DB note can include order_id if internal.

Below I list the concrete sequence (tool, method) and the key parameters I would pass to each call (placeholders indicated where runtime values are required).

Response: Tool sequence and key parameters (executed in order). Use placeholders <...> where runtime values are needed. After each successful call, call memory.store_item to persist outputs (examples shown).

1) Inspect calendar schema (metadata) — ACTION: calendar.get_current_date (inspect step per rule 1)
   - Tool call: { "action": "get_current_date" }
   - Expected salient output to store: current_date (e.g., "2025-08-07").
   - Memory store call: { "action": "store_item", "key": "current_date", "value": "2025-08-07" }

2) Compute two business days ahead — ACTION: calendar.add_business_days
   - Tool call: { "action": "add_business_days", "start_date": "2025-08-07", "days_to_add": 2 }
   - Expected output: { "target_date": "2025-08-11" }
   - Memory store call: { "action": "store_item", "key": "target_date", "value": "2025-08-11" }

3) Draft follow-up email — ACTION: email.draft_email
   - Tool call: { "action": "draft_email", "to": "<customer_email@example.com>", "subject": "Follow-up about your recent ticket", "body": "Hello <Customer Name>,\n\nI wanted to confirm that we are following up on your recent ticket. Please reply to this message if you need anything further or if the issue is resolved.\n\nBest regards,\nSupport Team" }
   - Notes: Do NOT include raw database IDs in the body. Use friendly language and optional template placeholders (<Customer Name>).
   - Expected output: { "draft_id": "<draft_id>" }
   - Memory store call: { "action": "store_item", "key": "followup_draft_id", "value": "<draft_id>" }

4) Schedule the drafted email for 09:00 two business days from now — ACTION: email.schedule_email
   - Tool call: { "action": "schedule_email", "draft_id": "<draft_id>", "send_at": "2025-08-11T09:00:00Z" }
   - Notes: If your system uses local timezone, replace 'Z' with the appropriate offset (e.g., "+01:00"). Ensure ISO-8601 format.
   - Expected output: { "scheduled_id": "<scheduled_entry_id>", "send_at": "2025-08-11T09:00:00Z" }
   - Memory store call: { "action": "store_item", "key": "followup_scheduled", "value": "2025-08-11T09:00:00Z (draft_id=<draft_id>)" }

5) Write an internal database note on the order/ticket (internal logging) — ACTION: database.write_note
   - Tool call: { "action": "write_note", "order_id": "<order_id>", "note": "Scheduled follow-up email for 2025-08-11 09:00 UTC; draft_id=<draft_id>; scheduled_id=<scheduled_entry_id>" }
   - Notes: This is an internal audit trail; including order_id here is acceptable since it's internal. Do NOT copy this ID into the email body.
   - Expected output: { "status": "ok" }
   - Memory store call: { "action": "store_item", "key": "followup_note_written", "value": "order:<order_id> scheduled:2025-08-11T09:00:00Z" }

6) Optional verification: email.get_email_status (after scheduling or later) — ACTION: email.get_email_status
   - Tool call: { "action": "get_email_status", "email_id": "<scheduled_entry_id>" }
   - Memory store call: { "action": "store_item", "key": "followup_email_status", "value": "<status>" }

Retries and logging: For every tool call above, attempt up to 3 times on failure. If all retries fail, store the error:
   - Memory store call on persistent error: { "action": "store_item", "key": "sched_error", "value": "<tool_name> failure: <error_message>" }
   - Then escalate or notify an agent as appropriate.

Summary of the concrete send timestamp used: "send_at": "2025-08-11T09:00:00Z" (two business days from 2025-08-07 at 09:00).

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Model output