run_d07c4efd494a46bd

AWAITING_APPROVAL retrigger →

jira-triage v1 · jira-triage-k8s · owner ingest:jira-new-ticket (api) · via jira-new-ticket · cloud-engineering

input

{
  "request": "Triage Jira ticket MZCLD-3743: Model and populate service dependency relationships so they can be traversed programmatically",
  "references": [
    "https://mozilla-hub.atlassian.net/browse/MZCLD-3743"
  ],
  "sourceContext": {
    "issue": "MZCLD-3743"
  }
}

summary

MZCLD-3743 is a backlog ticket proposing to model and populate service dependency relationships in the Backstage catalog (or equivalent) so an agentic platform can programmatically traverse service → dependency → owner chains. The ticket is well-scoped with four concrete deliverables (model decision, population/derivation, coverage measurement, and traversal verification) and a clear rationale tied to reducing agent hallucination when dependency data is absent. It currently has no comments and no linked runbook/design doc, so there is no additional context to pull from Confluence. This is a design/engineering task, not a bug or incident — it needs scoping input (which Backstage relations to standardize on) and an owner before it can move out of Backlog.

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proposed actions

jira.comment.postrisk low — informational triage comment only, no ticket fields changed, no code/infra impact.

MZCLD-3743

Triage notes: This is a solid, well-scoped design/enhancement task for the Agentic Platform catalog work, but it's still sitting in Backlog with no owner or comments. Suggest before moving to In Progress:

1. Assign an owner and confirm the 'in-scope services' set referenced in the description (which catalog/services are covered by v1?).
2. Time-box a short spike to decide the relation model (dependsOn/partOf/providesApis-consumesApis/system) — recommend documenting the chosen semantics in a short design note (Confluence) so the decision isn't buried in this ticket, since other consumers (agent tooling, other teams) will need to know what each relation means.
3. Before hand-authoring any dependency data, confirm what can be auto-derived from tenant files/Terraform/GPA and prioritize that source; hand-maintained edges should be flagged distinctly (e.g. via a metadata tag) so gaps stay visible per the 'partial coverage is fine, silent absence is not' requirement.
4. Consider splitting into sub-tasks: (a) model decision + doc, (b) derivation/population pipeline, (c) coverage measurement/report, (d) traversal verification via API — this will make progress trackable and let coverage be reported incrementally.
5. Define what 'traversal verification' means concretely (e.g. a test query or API call an agent would use) so acceptance criteria are unambiguous.

Happy to help draft the design note or acceptance criteria if useful.

tool calls

[
{
"capability": "jira.issue.read",
"args": {
"key": "MZCLD-3743"
},
"result": {
"key": "MZCLD-3743",
"summary": "Model and populate service dependency relationships so they can be traversed programmatically",
"status": "Backlog",
"description_text": "A flat list of service names is not enough for an Agentic Platform. The specific requirement is that an agent can traverse the list of services including their dependencies \u2014 walk from a service to what it depends on, and from there to who owns those things. Today the catalog is oriented around individual entities. Dependency relationships between services are the missing piece. Scope Decide the model \u2014 which Backstage relations we use and what each means for us: dependsOn , partOf , providesApis / consumesApis , system . Ambiguity here produces a graph an agent cannot reason over. Populate it \u2014 get dependency relations onto in-scope services. Where dependencies can be derived automatically (e.g. from tenant files, Terraform, or GPA), prefer deriving them over hand-maintenance, since hand-maintained dependency graphs rot fastest. Measure coverage \u2014 report how many in-scope services actually have dependency data, so \"dependencies are modelled\" is a measured claim rather than an assertion. Verify traversal \u2014 confirm an agent can walk service \u2192 dependencies \u2192 owners via the API. Why this matters for hallucinations If dependency data is absent, an agent asked \"what breaks if this service goes down?\" has nothing to ground an answer in \u2014 which is exactly the condition under which it invents one. Partial coverage is fine provided the gaps are visible ; silent absence is not.",
"comment_count": 0,
"comments": []
}
}
]

usage

{
  "model": "claude-sonnet-5",
  "input_tokens": 3495,
  "output_tokens": 1743,
  "estimated_cost_usd": 0.03663
}

approvals

[]

log

launched k8s job run-run-d07c4efd494a46bd in ns/mzcld-demo-dev image=us-docker.pkg.dev/moz-fx-mzcld-demo-prod/mzcld-demo-prod/agentplat:latest

runner started

live reasoning model=claude-sonnet-5

awaiting approval for 1 action(s)