OCE Shift Status Dashboard

Gathers data from multiple MCP servers in parallel and presents a consolidated shift status dashboard. Best-effort — partial results are always shown.

Procedure

Step 0: Confirm with the user

Before gathering any data, use the ask_user tool:

Question: "Would you like me to generate a shift status dashboard? This will query IcM, ADO, Kusto, Teams, and WorkIQ and may trigger auth prompts. Make sure you're connected to VPN first — it's required for Kusto and other internal services."

Choices: "Yes", "Yes, and write it to a file", "No"

• If No: respond "No problem — what can I help you with?" and stop.
• If Yes: proceed to Step 1. Present the dashboard in the console.
• If Yes, and write it to a file: proceed to Step 1. Write the dashboard to oce-dashboard-<YYYYMMDD-HHmmss>.md in the current working directory instead of printing it to the console. Just confirm the filename when done.

Step 1: Launch 6 background agents in parallel

Use the task tool with mode: "background" for each. Instruct each agent to always terminate — either return its results or respond with "FAILED: <reason>" if the tool call errors or auth fails. Agents must never hang or retry indefinitely.

CRITICAL: Background agents do not inherit the agent prompt context. Each sub-agent prompt must be self-contained with all IDs, parameters, and tool-call details it needs. Use the templates below — do not construct prompts from memory.

Agent 1 — IcM Incidents

Call icm-search_incidents_by_owning_team_id for each team: 98481 (FF Hot), 149377 (Fluid Framework Client), 98313 (Azure Fluid Relay Client). Only include Active and Mitigated incidents — exclude Resolved. Report ID, Sev, Title, Status, Team, Created date.

Agent 2 — ADO Pipeline Health

Call ado-pipelines_get_builds for each pipeline definition (12 = Build, 56 = E2E, 63 = Stress) with project: "internal", branchName: "refs/heads/main", statusFilter: "Completed", top: 3, queryOrder: "FinishTimeDescending". Result codes: 2 = ✅, 4 = ⚠️, 8 = ❌. Report build ID, result, finish time, and overall trend.

Agent 3 — Loop-FF Integration Pipeline

Call ado-office-pipelines_get_builds with project: "OC", definitions: [29163], top: 5, queryOrder: "FinishTimeDescending". Important: Use the ado-office MCP server tools (NOT the default ado tools) — this pipeline is in the office ADO org, not fluidframework. Result codes: 2 = ✅, 4 = ⚠️, 8 = ❌. Report build ID, result, finish time, branch, and build number. Flag any failures — a failing integration pipeline means the next FF bump to Loop will break.

Agent 4 — Kusto Error Rates

Do not load the ff-oce-kusto skill. Call kusto-kusto_query with cluster_uri: "https://kusto.aria.microsoft.com", database: "6a8929bcfc6d44e9b13fee392ada9cf0", and this query:

Office_Fluid_FluidRuntime_Error
| where Event_Time > ago(1h)
| summarize ErrorCount = count() by AppName = tostring(App_Name)
| order by ErrorCount desc
| take 15

If it fails, retry with a simple summarize ErrorCount = count() fallback (no by clause). Report as a table: Partner, Error Count.

Agent 5 — Teams Pipeline Alerts

Call teams-ListChannelMessages with teamId 9ce27575-2f82-4689-abdb-bcff07e8063b, channelId 19:[email protected], top 50, and expand: "replies" to fetch threaded replies inline. The expand parameter is required — without it, replies will be null and acknowledgment status cannot be determined. Filter for messages from Azure DevOps (check from.displayName contains "Azure DevOps") in the last 2 weeks. Classify each as Acknowledged (has a text reply or ✅/☑️/👍/👀 reaction), Resolved (reply confirming fix), or Unacknowledged (no replies, no meaningful reactions). Report: Date, Description, Status, Action Needed.

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