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Get Started Free →Monitor flow health, track failure rates, and inventory tenant assets through
.claude/skills/flowstudio-power-automate-monitoring/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-08 | ✗→✓ | ▲ Improved | — | — |
| case-12 | ✗→✓ | ▲ Improved | — | — |
| case-17 | ✗→✓ | ▲ Improved | — | — |
| case-15 | ✗→✓ | ▲ Improved | — | — |
| case-22 | ✗→✓ | ▲ Improved | — | — |
Monitor flow health, track failure rates, and inventory tenant assets through the FlowStudio MCP cached store — fast reads, no PA API rate limits, and enriched with governance metadata and remediation hints.
> ⚠️ Pro+ subscription required. This skill calls store_* tools that > only work for FlowStudio for Teams or MCP Pro+ subscribers. > > If the user does not have Pro+ access: the first store_* tool call > will return a 403/404 error. When that happens: > 1. STOP calling store tools > 2. Tell the user this feature requires a Pro+ subscription > 3. Link them to https://mcp.flowstudio.app/pricing > 4. If their question can be answered with live tools (e.g. "list flows in > one environment"), offer to use the flowstudio-power-automate-mcp skill instead > > Discovery: load tool schemas via tool_search rather than tools/list — > call with query: "select:list_store_flows,get_store_flow_summary" for the > common monitoring tools, or load the full set with query: "skill:governance" > (the server's governance bundle covers most monitoring reads too — this skill > and flowstudio-power-automate-governance share the underlying tool family). This skill > covers response shapes, behavioral notes, and workflow patterns — things > tool_search cannot tell you. If this document disagrees with a real API > response, the API wins.
Flow Studio scans the Power Automate API daily for each subscriber and caches the results. There are two levels:
type, and aggregate run statistics (runPeriodTotal, runPeriodFailRate, etc.). Environments, apps, connections, and makers are also scanned.
monitor: true) additionally get per-run detail:individual run records with status, duration, failed action names, and remediation hints. This is what populates get_store_flow_runs and get_store_flow_summary.
Data freshness: Check the scanned field on get_store_flow to see when a flow was last scanned. If stale, the scanning pipeline may not be running.
Enabling monitoring: Set monitor: true via update_store_flow or the Flow Studio for Teams app (how to select flows).
Designating critical flows: Use update_store_flow with critical=true on business-critical flows. This enables the governance skill's notification rule management to auto-configure failure alerts on critical flows.
| Tool | Purpose | |---|---| | list_store_flows | List flows with failure rates and monitoring filters | | get_store_flow | Full cached record: run stats, owners, tier, connections, definition (triggerUrl field included) | | get_store_flow_summary | Aggregated run stats: success/fail rate, avg/max duration | | get_store_flow_runs | Per-run history with duration, status, failed actions, remediation (filter status="Failed" for errors-only view) | | update_store_flow | Set monitor flag, notification rules, tags, governance metadata | | list_store_environments | All Power Platform environments | | list_store_connections | All connections | | list_store_makers | All makers (citizen developers) | | get_store_maker | Maker detail: flow/app counts, licenses, account status | | list_store_power_apps | All Power Apps canvas apps |
> For start/stop, use set_live_flow_state from the monitor-flow bundle > (tool_search query: "select:set_live_flow_state") — the cache resyncs on > the next scan. The previous set_store_flow_state convenience wrapper is > deprecated.
| Question | Use Store | Use Live | |---|---|---| | How many flows are failing? | list_store_flows | — | | What's the fail rate over 30 days? | get_store_flow_summary | — | | Show error history for a flow | get_store_flow_runs (filter status="Failed") | — | | Who built this flow? | get_store_flow → parse owners | — | | Read the full flow definition | get_store_flow has it (JSON string) | get_live_flow (structured) | | Inspect action inputs/outputs from a run | — | get_live_flow_run_action_outputs | | Resubmit a failed run | — | resubmit_live_flow_run |
> Store tools answer "what happened?" and "how healthy is it?" > Live tools answer "what exactly went wrong?" and "fix it now."
> If get_store_flow_runs or get_store_flow_summary return empty results, > check: (1) is monitor: true on the flow? and (2) is the scanned field > recent? Use get_store_flow to verify both.
list_store_flowsDirect array. Filters: monitor (bool), rule_notify_onfail (bool), rule_notify_onmissingdays (bool).
json[ { "id": "Default-<envGuid>.<flowGuid>", "displayName": "Stripe subscription updated", "state": "Started", "triggerType": "Request", "triggerUrl": "https://...", "tags": ["#operations", "#sensitive"], "environmentName": "Default-aaaaaaaa-...", "monitor": true, "runPeriodFailRate": 0.012, "runPeriodTotal": 82, "createdTime": "2025-06-24T01:20:53Z", "lastModifiedTime": "2025-06-24T03:51:03Z" } ]
> id format: Default-<envGuid>.<flowGuid>. Split on first . to get > environmentName and flowName. > > triggerUrl and tags are optional. Some entries are sparse (just id + > monitor) — skip entries without displayName. > > Tags on list_store_flows are auto-extracted from the flow's description > field (maker hashtags like #operations). Tags written via > update_store_flow(tags=...) are stored separately and only visible on > get_store_flow — they do NOT appear in the list response.
get_store_flowFull cached record. Key fields:
| Category | Fields | |---|---| | Identity | name, displayName, environmentName, state, triggerType, triggerKind, tier, sharingType | | Run stats | runPeriodTotal, runPeriodFails, runPeriodSuccess, runPeriodFailRate, runPeriodSuccessRate, runPeriodDurationAverage/Max/Min (milliseconds), runTotal, runFails, runFirst, runLast, runToday | | Governance | monitor (bool), rule_notify_onfail (bool), rule_notify_onmissingdays (number), rule_notify_email (string), log_notify_onfail (ISO), description, tags | | Freshness | scanned (ISO), nextScan (ISO) | | Lifecycle | deleted (bool), deletedTime (ISO) | | JSON strings | actions, connections, owners, complexity, definition, createdBy, security, triggers, referencedResources, runError — all require json.loads() to parse |
> Duration fields (runPeriodDurationAverage, Max, Min) are in > milliseconds. Divide by 1000 for seconds. > > runError contains the last run error as a JSON string. Parse it: > json.loads(record["runError"]) — returns {} when no error.
get_store_flow_summaryAggregated stats over a time window (default: last 7 days).
json{ "flowKey": "Default-<envGuid>.<flowGuid>", "windowStart": null, "windowEnd": null, "totalRuns": 82, "successRuns": 81, "failRuns": 1, "successRate": 0.988, "failRate": 0.012, "averageDurationSeconds": 2.877, "maxDurationSeconds": 9.433, "firstFailRunRemediation": null, "firstFailRunUrl": null }
> Returns all zeros when no run data exists for this flow in the window. > Use startTime and endTime (ISO 8601) parameters to change the window.
get_store_flow_runsDirect array of cached run records. Parameters: startTime, endTime, status (array — pass ["Failed"] for an errors-only view, ["Succeeded"], or omit for all).
> Returns [] when no run data exists in the window.
Read the triggerUrl field directly from get_store_flow (cached) or get_live_flow (live). It is null for non-HTTP triggers.
Use set_live_flow_state from the monitor-flow server bundle. The cache catches up on the next daily scan; if you need cache freshness sooner, call get_live_flow after the state change to confirm and let the next scan sync.
update_store_flowUpdates governance metadata. Only provided fields are updated (merge). Returns the full updated record (same shape as get_store_flow).
Settable fields: monitor (bool), rule_notify_onfail (bool), rule_notify_onmissingdays (number, 0=disabled), rule_notify_email (comma-separated), description, tags, businessImpact, businessJustification, businessValue, ownerTeam, ownerBusinessUnit, supportGroup, supportEmail, critical (bool), tier, security.
list_store_environmentsDirect array.
json[ { "id": "Default-aaaaaaaa-...", "displayName": "Flow Studio (default)", "sku": "Default", "type": "NotSpecified", "location": "australia", "isDefault": true, "isAdmin": true, "isManagedEnvironment": false, "createdTime": "2017-01-18T01:06:46Z" } ]
> sku values: Default, Production, Developer, Sandbox, Teams.
list_store_connectionsDirect array. Can be very large (1500+ items).
json[ { "id": "<environmentId>.<connectionId>", "displayName": "user@contoso.com", "createdBy": "{\"id\":\"...\",\"displayName\":\"...\",\"email\":\"...\"}", "environmentName": "...", "statuses": "[{\"status\":\"Connected\"}]" } ]
> createdBy and statuses are JSON strings — parse with json.loads().
list_store_makersDirect array.
json[ { "id": "09dbe02f-...", "displayName": "Sample Maker", "mail": "maker@contoso.com", "deleted": false, "ownerFlowCount": 199, "ownerAppCount": 209, "userIsServicePrinciple": false } ]
> Deleted makers have deleted: true and no displayName/mail fields.
get_store_makerFull maker record. Key fields: displayName, mail, userPrincipalName, ownerFlowCount, ownerAppCount, accountEnabled, deleted, country, firstFlow, firstFlowCreatedTime, lastFlowCreatedTime, firstPowerApp, lastPowerAppCreatedTime, licenses (JSON string of M365 SKUs).
list_store_power_appsDirect array.
json[ { "id": "<environmentId>.<appId>", "displayName": "My App", "environmentName": "...", "ownerId": "09dbe02f-...", "ownerName": "Catherine Han", "appType": "Canvas", "sharedUsersCount": 0, "createdTime": "2023-08-18T01:06:22Z", "lastModifiedTime": "2023-08-18T01:06:22Z", "lastPublishTime": "2023-08-18T01:06:22Z" } ]
1. list_store_flows
2. Filter where runPeriodFailRate > 0.1 and runPeriodTotal >= 5
3. Sort by runPeriodFailRate descending
4. For each: get_store_flow for full detail1. get_store_flow → check scanned (freshness), runPeriodFailRate, runPeriodTotal
2. get_store_flow_summary → aggregated stats with optional time window
3. get_store_flow_runs(status=["Failed"]) → per-run failure detail with remediation hints
4. If deeper diagnosis needed → switch to live tools:
get_live_flow_runs → get_live_flow_run_action_outputs1. update_store_flow with monitor=true
2. Optionally set rule_notify_onfail=true, rule_notify_email="user@domain.com"
3. Run data will appear after the next daily scan1. list_store_flows
2. Flag flows with runPeriodFailRate > 0.2 and runPeriodTotal >= 3
3. Flag monitored flows with state="Stopped" (may indicate auto-suspension)
4. For critical failures → get_store_flow_runs(status=["Failed"]) for remediation hints1. list_store_makers
2. Identify deleted accounts still owning flows (deleted=true, ownerFlowCount > 0)
3. get_store_maker for full detail on specific users1. list_store_environments → environment count, SKUs, locations
2. list_store_flows → flow count by state, trigger type, fail rate
3. list_store_power_apps → app count, owners, sharing
4. list_store_connections → connection count per environmentflowstudio-power-automate-mcp — Foundation skill: connection setup, MCP helper, tool discoveryflowstudio-power-automate-debug — Deep diagnosis with action-level inputs/outputs (live API)flowstudio-power-automate-build — Build and deploy flow definitionsflowstudio-power-automate-governance — Governance metadata, tagging, notification rules, CoE patterns| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-03 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-04 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-05 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-08 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-10 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-12 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-17 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-16 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-15 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-22 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-01 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-06 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-07 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-19 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-20 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-21 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-02 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-14 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-11 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-13 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-18 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-09 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted, and 18 counted toward the lift figure. The other 4 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of +50 percentage points is the difference between those two pass rates over the 18 comparable cases. 1 case got worse with the skill loaded, and it is included in that figure.
The per-case answers from this run were removed by the retention sweep, so the case table below shows the verdicts without the text either arm produced. The counts above were recorded at the time and are unaffected. Answers are now kept for 180 days.
Other measured skills in the registry, with their headline benchmark lift.