Microsoft 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>.mdin 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:
let startTime = ago(1h);
let activeSessions =
union Office_Fluid_FluidRuntime_Error,
Office_Fluid_FluidRuntime_Performance,
Office_Fluid_FluidRuntime_Generic
| where Event_Time > startTime
| where isnotempty(Session_Id) and isnotempty(App_Name)
| summarize ActiveSessions=dcount(Session_Id) by AppName=App_Name;
let errors =
Office_Fluid_FluidRuntime_Error
| where Event_Time > startTime
| where isnotempty(Session_Id) and isnotempty(App_Name)
| summarize ErrorSessions=dcount(Session_Id)
by AppName=App_Name;
activeSessions
| join kind=leftouter errors on AppName
| extend ErrorSessions=coalesce(ErrorSessions, 0)
| extend SessionErrorRate=round(100.0 * ErrorSessions / ActiveSessions, 3)
| project AppName, SessionErrorRate, ActiveSessions, ErrorSessions
| order by SessionErrorRate desc
If it fails, retry with a simple Office_Fluid_FluidRuntime_Error | where Event_Time > ago(1h) | summarize ErrorCount = count() fallback.
Report the first 10 partner rows ordered by Session Error Rate, with columns in this exact order: Partner, Session Error Rate, Active Sessions, Error Sessions, Notes. Combine every omitted row into one final row labeled Remaining partners (N), where N is the number of omitted partners. For that row, sum Active Sessions and Error Sessions across the omitted rows, then calculate Session Error Rate from those summed values; do not average the individual rates. Flag displayed partners with fewer than 1,000 active sessions as low-volume because their rates may be volatile.
Agent 5 — Teams Pipeline Alerts
Call teams-ListChannelMessages with teamId 9ce27575-2f82-4689-abdb-bcff07e8063b, channelId 19:25dabf309c5c42a7abe4647c7c1b7990@thread.skype, 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.
Agent 6 — WorkIQ
Call workiq-ask_work_iq: "Do I have any pending emails, action items, or meeting follow-ups related to Fluid Framework, FF Client, FF Hot, or Fluid Relay from the last week?" Summarize any actionable items.
Step 2: Collect results with a 90-second timeout
Use read_agent with wait: true, timeout: 90 for each agent, all in parallel.
Hard cutoff: After this single round of read_agent calls, you are done collecting data. Do not call read_agent again. Do not wait for agents that are still running. If an agent's status is anything other than "completed" with results, mark that section ⚠️ unavailable — timed out and move on to Step 3 immediately. Agents left running can be ignored — they will clean up on their own.
Step 3: Present the dashboard
## 🖥️ Shift Status Dashboard
Generated: <timestamp>
### 🚨 Active IcM Incidents
| ID | Sev | Title | Status | Team | Age |
| --- | --- | --- | --- | --- | --- |
### 🔧 Pipeline Health (main, last 3 runs)
| Pipeline | Run 1 | Run 2 | Run 3 | Trend |
| --- | --- | --- | --- | --- |
### 🔗 Loop-FF Integration Pipeline (last 5 runs)
| Build ID | Branch | Result | Finished | Build Number | Notes |
| --- | --- | --- | --- | --- | --- |
### 📊 Session-Normalized Error Health (last 1h)
| Partner | Session Error Rate | Active Sessions | Error Sessions | Notes |
| --- | --- | --- | --- | --- |
### 🔔 Integration Pipeline Alerts (FF Client OCE channel, last 2 weeks)
| Date | Description | Status | Action Needed |
| --- | --- | --- | --- |
### 📋 WorkIQ
(summary)
For any section with no data, show "✅ None". For failed services, show "⚠️ [Service] unavailable — reason".