run_6109adf0798e5a83

input

{
  "request": "Triage Jira ticket MZCLD-3827: Dedupe tenant.yaml & projects/tf values",
  "references": [
    "https://mozilla-hub.atlassian.net/browse/MZCLD-3827"
  ],
  "sourceContext": {
    "issue": "MZCLD-3827"
  }
}

summary

MZCLD-3827 ("Dedupe tenant.yaml & projects/tf values") is a Backlog ticket with an empty description and no comments, so there is no actionable detail yet (no linked runbook/design doc was found to pull additional context from). The ticket appears to be a placeholder for work to eliminate duplicated values between tenant.yaml and the projects/ Terraform configs, but scope, affected files/tenants, and acceptance criteria are undefined. Recommend requesting clarification from the reporter before further triage or prioritization.

findings

• Ticket has no description text, making the scope of the 'dedupe' work unclear (which fields, which tenants, which tf modules are duplicated).
• No comments exist on the ticket, so there is no additional discussion, design decision, or runbook link to draw context from.
• No Confluence runbook or design doc reference is present in the ticket to consult via confluence.page.read.
• Ticket status is Backlog, consistent with an unrefined/unscoped item awaiting grooming.

proposed actions

Thanks for filing this. To triage and size this ticket, could you add more detail on scope? Specifically: (1) which fields/values in tenant.yaml are duplicated in the projects/ Terraform configs, (2) whether this affects all tenants or a specific subset, (3) the proposed approach for deduping (e.g., generate tf vars from tenant.yaml, or vice versa), and (4) any acceptance criteria or related design doc/runbook. Once scoped, we can prioritize and assign. Marking as needing-info in the meantime.

tool calls

[
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    "capability": "jira.issue.read",
    "args": {
      "key": "MZCLD-3827"
    },
    "result": {
      "key": "MZCLD-3827",
      "summary": "Dedupe tenant.yaml & projects/tf values",
      "status": "Backlog",
      "description_text": "",
      "comment_count": 0,
      "comments": []
    }
  }
]

log