WFM API 400 Error on Zendesk Shift Mapping

Genesys Cloud WFM
1

Context:
Migrating Zendesk support schedules to Genesys Cloud WFM. The POST /api/v2/wfm/schedules endpoint returns a 400 Bad Request when mapping Zendesk agent shifts. The JSON payload matches the schema, but the timezone offset for Europe/Paris seems to trigger a validation error. We are using the standard REST API without Terraform.

Question:
Why does this setting cause the API to reject the shift data, and how should we format the timezone fields to match Genesys Cloud’s expectations during a Zendesk-to-GC migration?

2

According to the docs, they say that timezone handling in the WFM API is strict about IANA timezone IDs versus fixed offsets, which often trips up migration scripts. When mapping from Zendesk, the payload likely contains a fixed offset like +01:00 or a deprecated format instead of the canonical Europe/Paris string required by Genesys Cloud’s schedule engine. The validation error occurs because the system cannot reconcile the ambiguous offset with the agent’s primary timezone profile during the publishing phase.

Here is how to correct the payload structure:

  1. Replace any numeric offset strings in the timezone field with the full IANA identifier. Change "timezone": "+01:00" to "timezone": "Europe/Paris".
  2. Ensure the start_time and end_time fields in the shift object are formatted as ISO 8601 strings including the timezone suffix (e.g., "2023-10-27T08:00:00+02:00"), rather than just local times. The API requires explicit temporal context for each shift segment.
  3. Verify that the agent_id included in the schedule payload matches an active user in Genesys Cloud who has a valid timezone preference set in their profile. If the agent’s profile timezone conflicts with the shift’s timezone metadata, the publish action will fail with a 400 error.
  4. Check the shift_type enum value. It must be one of the supported types (REGULAR, OVERTIME, etc.). Custom strings from Zendesk mappings will be rejected.

In my experience managing weekly schedule publications, this specific error usually stems from automated migration tools pulling raw UTC offsets from legacy systems. Switching to the IANA standard resolved the validation issues immediately. Also, remember that the API expects the schedule to be published in the agent’s local time context, so double-check that the schedule_id isn’t conflicting with an existing draft schedule for that week.