Application Integration Troubleshooting
GoogleOfficialPublished by Google
- Skill
- Tool integration
- Cloud and DevOps
- Apache-2.0
- Low risk
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
This skill provides a structured diagnostic framework for troubleshooting Google Cloud Application Integration runs. It guides users through verifying execution states, inspecting per-task failures, querying Cloud Logging and Monitoring, and resolving issues related to IAM, quotas, and connector health. It supports recovery actions like canceling or replaying executions, ensuring that integration workflows are properly investigated and restored.
What it does
- Verifies execution states and identifies specific task failures.
- Diagnoses silent failures where integrations appear to do nothing.
- Inspects Integration Connectors health and schema metadata.
- Checks IAM roles and run-as service account permissions.
- Provides structured root-cause analysis via the v2 REST API.
- Facilitates safe execution recovery through cancellation or replay.
When to use it
- When an integration fails or returns an unexpected result.
- When an integration hangs in a suspended or retry state.
- When you suspect IAM, service account, or quota-related errors.
- When an integration appears to run but produces no logs or output.
Advantages
- Systematic approach to complex integration debugging.
- Clear separation between caller identity and run-as service account checks.
- Provides safe, confirmed recovery actions for stuck executions.
- Leverages native Google Cloud APIs for deep visibility.
Usage examples
- “My integration execution ID 12345 failed, can you help me find out why?”
- The agent will list the execution details, inspect the task states, and run the v2 troubleshoot command to identify the root cause.
- “An integration is stuck in SUSPENDED state, how do I fix it?”
- The agent will identify the suspension type, check for required permissions, and provide the command to lift or resolve the suspension after user confirmation.
Install
Download the skill as a ZIP:
https://autogineer.com/agent-skills/google/application-integration-troubleshooting/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip application-integration-troubleshooting.zip -d .agents/skills
Documentation by Google
Application Integration Troubleshooting
Diagnose and recover Google Cloud Application Integration executions that fail, stall, or appear to do nothing. This skill walks through execution state verification, per-task failure inspection, Cloud Logging and Cloud Monitoring checks, Integration Connectors health probes, suspension resolution, and IAM or quota checks.
Attribution
MUST READ: Before executing any gcloud command, REST API call, or Python
discovery-client call, you MUST read
Usage Attribution. For commands executed directly
in the terminal (never in generated scripts, Terraform, ADK agents, or user
code), prefix gcloud with
CLOUDSDK_METRICS_REQUEST_ATTRIBUTION="agent-skills/1.0 (skill:application-integration-troubleshooting)"
and add agent-skills/1.0 (skill:application-integration-troubleshooting) to
the User-Agent header of curl requests.
Tooling and Scope Boundaries
REST is the interface. There is no
gcloud integrationscommand group and no Google-managed MCP server for Application Integration. Usecurlwithgcloud auth print-access-token, or the discovery-based Python client (googleapiclient.discovery.build("integrations", "v1")andbuild("connectors", "v1"); install withpip install "google-api-python-client>=2.100.0,<3" "google-auth>=2.20.0,<3") (changes host or credential state; get the user's approval first).Generic
gcloudcommands apply for authentication (gcloud auth), enabling APIs (gcloud services), IAM checks (gcloud projects get-iam-policy,gcloud iam service-accounts get-iam-policy), and log queries (gcloud logging read).Regional scope. Integrations, executions, connections, and execution logs live in a single Google Cloud region (
LOCATION), which is theLOCATIONin every REST path; nogclouddefault-region setting applies. Ask the user which region the integration is deployed in. If they don't know, start withus-central1and, ifexecutions.listis empty there, check the other Application Integration locations before concluding nothing ran (Step 2).Sibling skills:
Use
application-integration-basicsfor product concepts, enabling APIs, provisioning a region, initial IAM roles, and service limits.Use
application-integration-authoringfor creating drafts, editing tasks and triggers, config variables, publishing,:executeand:schedulepayloads, and CI/CD export/import.
Safety and Confirmation Rules
Read-only checks run freely:
executions.list,suspensions.list,connections.get,connectionSchemaMetadataget calls, runtime v2actions.list/entityTypes.list,gcloud logging read, andv2executions:troubleshoot.State-changing actions require explicit user confirmation. Before canceling or replaying an execution, lifting or resolving a suspension, refreshing connector schema metadata, repairing connector eventing, publishing or unpublishing a version, or changing IAM bindings, show the exact command and wait for user approval.
Host changes require approval. Before installing packages (
pip install) or changing global gcloud or credential state (gcloud config set ...such asauth/impersonate_service_account,gcloud auth application-default login/set-quota-project), show the exact command and wait for the user's approval.Never bundle destructive scripts or delete integrations, versions, connections, or auth profiles during troubleshooting unless the user specifically asks.
Prerequisites and Setup Check
Before querying APIs, confirm the environment has credentials, active APIs, and the right target region:
# Verify active identity and project
gcloud config get-value account
gcloud config get-value project
# Check that required APIs are enabled on PROJECT_ID
gcloud services list --enabled --project="PROJECT_ID" \
--filter="config.name:(integrations.googleapis.com OR connectors.googleapis.com OR secretmanager.googleapis.com)"If an API is missing, ask the user before running
gcloud services enable integrations.googleapis.com connectors.googleapis.com secretmanager.googleapis.com --project="PROJECT_ID".Ensure an active billing account is attached to
PROJECT_ID(required even when usage stays within the monthly free tier; see the Application Integration pricing page).For Python discovery clients (install with
pip install "google-api-python-client>=2.100.0,<3" "google-auth>=2.20.0,<3") or ADK (ApplicationIntegrationToolset), authenticate withgcloud auth application-default loginandgcloud auth application-default set-quota-project PROJECT_ID(changes host or credential state; get the user's approval first).
Diagnostic Decision Flow
Follow these steps in order whenever a user reports that an integration failed, did nothing, or is stuck.
Step 1: Confirm Whether an Execution Ran and Check Its True State
Do not rely on an HTTP 200 status from :execute as proof that every task succeeded (note: integrations:test also exists in the v1 REST API, but its required TestIntegrationsRequest.clientId value is not publicly documented, so do not invent one; test by publishing to a non-production project and calling :execute). As a diagnostic rule, always check the response payload and execution record because:
The required verification is the execution record from
executions.list?filter=execution_id="EXECUTION_ID"—inspectexecutionDetails.state, each task'staskExecutionState, andErrorInfoinresponseParameters(do not rely on the legacy/deprecatedexecutionFailedfield, which is not a supported public signal).If the caller passed
"doNotPropagateError": trueon:execute, the API returns HTTP 200 with anexecutionIdand places error details inside event parameters instead of returning an HTTP error.A duplicate
requestIdon:executeor:schedulereturns the previous execution's response without running a new execution.Task failure policies (
IGNOREandNONE) allow an integration to continue or finish asSUCCEEDEDdown an alternate branch even when an individual task failed.
List executions for the integration (use - as INTEGRATION_NAME to search across all integrations in the region; the discovery doc does not specify whether orderBy=create_time sorts ascending or descending, so add a CreateTimestamp filter or paginate with pageToken if needed):
curl -sS -H "Authorization: Bearer $(gcloud auth print-access-token)" \
"https://integrations.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/integrations/INTEGRATION_NAME/executions?pageSize=10&orderBy=create_time&snapshotMetadataWithoutParams=true"Once you have the EXECUTION_ID, fetch its full ExecutionDetails and per-task states (use filter, snapshotMetadataWithoutParams=true, and readMask on executions.list—never the deprecated truncateParams [UI-only] or filterParams.* [internal-only] parameters):
curl -sS -H "Authorization: Bearer $(gcloud auth print-access-token)" \
"https://integrations.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/integrations/INTEGRATION_NAME/executions?filter=execution_id%3D%22EXECUTION_ID%22"To filter executions.list by state, use the state field (= or !=) with unquoted ExecutionDetails.state values (for example, filter=state=FAILED, filter=state!=SUCCEEDED, filter=state=CANCELLED, or filter=state=FAILED OR state=CANCELLED, URL-encoded as filter=state%3DFAILED or filter=state%3DFAILED%20OR%20state%3DCANCELLED); use state (not eventExecutionState, as shown on the REST reference page, or event_execution_state in the API reference's filter description), and use the supported filter keys (execution_id, state, update_time, workflow_name, trigger_id, CreateTimestamp, parameter_type)—camelCase variants such as executionId are not supported even though some docs examples show them.
Step 2: What If No Execution Record Exists?
If executions.list returns no matching run, check these five causes before assuming the trigger never fired:
| Cause | Symptom | What to verify |
|---|---|---|
| Wrong region | Empty list in LOCATION | Check https://console.cloud.google.com/integrations or list integrations in other regions. |
| API trigger 403 | Caller got HTTP 403 PERMISSION_DENIED | API trigger auth denials fail before execution creation; nothing is written to execution logs. Check caller IAM and roles/iam.serviceAccountUser on the run-as service account. |
| API trigger payload > 8 MB | Caller got an error | Cumulative API trigger input variables exceed the 8 MB limit, so the integration does not start. |
| Local logging disabled | Integration ran, but logs are empty | Check IntegrationVersion.databasePersistencePolicy (DATABASE_PERSISTENCE_DISABLED = Disable; DATABASE_PERSISTENCE_POLICY_UNSPECIFIED = Enable (sync), the API default; DATABASE_PERSISTENCE_ASYNC = Enable (async), the console default). Also, if total integration data exceeds 10 MB (up to the 30 MB limit), local logging is disabled automatically. |
Version not ACTIVE | Trigger never fires | Only an ACTIVE (published) version runs from triggers. After publishing, an older version can keep serving for up to 10 minutes due to eventual consistency. |
Step 3: Branch by Execution State (ExecutionDetails.state)
See Execution States for the full state reference, task-level states (TaskExecutionDetails.taskExecutionState), filter syntax, and cancel/replay rules.
ExecutionDetails.state | Console status | Meaning and next step |
|---|---|---|
FAILED | Failed | Check ErrorInfo (message, code) in responseParameters, inspect the failing task's taskExecutionState (FAILED or FATAL), and run Step 4 (:troubleshoot and Cloud Logging). |
SUCCEEDED | Succeeded | If expected work did not happen, inspect taskExecutionDetails for tasks in SKIPPED (edge condition false) or FAILED (masked by IGNORE or NONE retry strategy). |
CANCELLED | Canceled | User canceled the run, a new integration version was published while the run was suspended, a SYNC run hit the 2-minute timeout, or a replayed run hit the 10-minute deadline. |
SUSPENDED | Suspended | Waiting on an Approval task (resolvable in the Cloud console UI or via suspensions:resolve) or a Suspend task (resumable via suspensions:lift). See Suspensions. |
RETRY_ON_HOLD | Retry on hold | A task or integration failed with a temporary error and is waiting in the backoff retry queue. |
PROCESSING | In process | Currently running. Check whether an ASYNC run is approaching the 10-minute timeout. |
PENDING | On hold | Scheduled or temporarily paused and waiting to be triggered. |
Step 4: Inspect Logs, AI Root Cause, and Subsystem Health
Run AI Troubleshoot (v2 REST API) on a failed execution to get a structured root-cause summary (requires
integrations.executions.get):curl -sS -H "Authorization: Bearer $(gcloud auth print-access-token)" \ "https://integrations.googleapis.com/v2/projects/PROJECT_ID/locations/LOCATION/integrations/INTEGRATION_NAME/executions/EXECUTION_ID:troubleshoot"Query Cloud Logging if Cloud Logging was enabled on the version. Note that Cloud Logging is disabled by default and writes nothing if local logging is disabled. See Logging and Monitoring for how to enable it, severity behavior, and exact queries.
gcloud logging read \ 'resource.type="integrations.googleapis.com/IntegrationVersion" AND jsonPayload.executionId="EXECUTION_ID"' \ --project="PROJECT_ID" --limit=20 --format=jsonIf a Connectors task failed, do not guess whether the connector or IAM is at fault. Inspect the connection resource (
connections.get) and its schema metadata (GET .../connections/CONNECTION_NAME/connectionSchemaMetadataforstateanderrorMessage, and runtime v2GET .../v2/.../connections/CONNECTION_NAME/actionsand.../entityTypesfor listing—v1connectionSchemaMetadata:listActionsand:listEntityTypesrequire afilterand reject unfiltered calls). See Connectors Health for connection states, schema metadata checks, and node throttling (HTTP 429).curl -sS -H "Authorization: Bearer $(gcloud auth print-access-token)" \ "https://connectors.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/connections/CONNECTION_NAME?view=FULL"If an IAM (403), run-as service account, timeout, or quota error occurred, check both the caller's role and the integration's run-as service account. Integrations created on or after October 15, 2026 with any trigger other than an API or Private trigger (for example Schedule, Cloud Scheduler, Cloud Pub/Sub, Salesforce, or Connector Event; Private triggers are exempt like API triggers, so a sub-integration whose only trigger is Private can be published without
runAsServiceAccount) cannot be tested or published unlessrunAsServiceAccountis set; wheneverrunAsServiceAccountis set, the user publishing or testing the version needsroles/iam.serviceAccountUseron it. See Common Errors for the two-sided 403 checklist, error codes, task limits, and ADKApplicationIntegrationToolseterrors.
Common Diagnostic Scenarios
Scenario A: Failed Connectors Task (Connection Health vs Caller IAM)
Run
connections.getwithview=FULL(command above) and inspectstatus.stateandstatus.status.If
status.stateisERRORorAUTHORIZATION_REQUIRED: the connection itself cannot reach or authenticate to the target backend. Fix the connection's credentials in Secret Manager or the Cloud console (https://console.cloud.google.com/connectors/connections). If the connection uses a service account in another project, verify[email protected]hasroles/iam.serviceAccountTokenCreatorin that project.If
status.stateisACTIVE: the connection is healthy. Check whether the identity running the task (the integration'srunAsServiceAccount, or if unset,service-PROJECT_NUMBER@gcp-sa-integrations.iam.gserviceaccount.com) has a required Integration Connectors role (such asroles/connectors.invokerorroles/connectors.admin) in the connection's project.If the task failed with HTTP 429: the connection exceeded its provisioned nodes. Raise min/max nodes on the connection and add a task retry strategy (
EXPONENTIAL_BACKOFF).Trace the exact connector attempt in Cloud Logging (when connector logging is enabled on the connection):
gcloud logging read \ 'resource.type="connectors.googleapis.com/Connection" AND jsonPayload.integration_connectors_trace_id="EXECUTIONID_TASKID_ATTEMPTNUMBER"' \ --project="PROJECT_ID" --limit=20 --format=json
Scenario B: Stuck in SUSPENDED (Approval vs Suspend Task)
Identify which task paused the execution from
taskExecutionDetailsand list pending suspensions (read-only; requiresintegrations.suspensions.list, included inroles/integrations.suspensionResolver) to findSUSPENSION_IDandtaskId. Note thatroles/integrations.suspensionResolveralone cannot read execution records (nointegrations.executions.listorintegrations.executions.get, returning HTTP 403 onexecutions.listand v2:troubleshoot); to inspecttaskExecutionDetails(or run:troubleshoot), also grantroles/integrations.integrationViewer(or use the approval email link, which carries the execution and task IDs). See Suspensions for full details.# Read-only: list suspensions on EXECUTION_ID curl -sS -H "Authorization: Bearer $(gcloud auth print-access-token)" \ "https://integrations.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/integrations/INTEGRATION_NAME/executions/EXECUTION_ID/suspensions"Approval task: can be approved or rejected in the Cloud console UI or via the REST API (
POST https://integrations.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/integrations/INTEGRATION_NAME/executions/EXECUTION_ID/suspensions/SUSPENSION_ID:resolvewith body{"suspension": {"eventExecutionInfoId": "EXECUTION_ID", "integration": "INTEGRATION_NAME", "taskId": "TASK_ID", "state": "LIFTED"}}or"REJECTED"—the same call the console Approve/Reject buttons make). Always confirm with the user before resolving. Verify the caller holdsintegrations.suspensions.resolve(included inroles/integrations.suspensionResolver, which is not included inroles/integrations.integrationEditor) androles/iam.serviceAccountUseron the integration'srunAsServiceAccount. Withoutroles/iam.serviceAccountUser, approving leaves the execution paused until it expires.Suspend task:
:liftis the Suspend-task variant and requiresintegrations.suspensions.lift(included inroles/integrations.suspensionResolver) plusroles/iam.serviceAccountUseron the integration'srunAsServiceAccount. After user confirmation, callPOST .../executions/EXECUTION_ID/suspensions/SUSPENSION_ID:liftwith an optionalsuspensionResult.Watch out for version publish cancellation: publishing a new version of an integration automatically cancels all suspended executions of the previous version.
Scenario C: HTTP 403 PERMISSION_DENIED on Trigger, Test, or Publish
Application Integration enforces two independent permission checks:
Caller IAM check: the caller needs permission on the integration (
roles/integrations.integrationInvokerto invoke,roles/integrations.integrationEditorto edit/test,roles/integrations.integrationDeployerorroles/integrations.integrationEditorto publish).Run-as service account check: whenever
runAsServiceAccountis set on the version, the user (or principal) publishing or testing the version needsroles/iam.serviceAccountUseronrunAsServiceAccountat publish/test time, and at runtime the invoking caller or trigger service account needsroles/iam.serviceAccountUseronrunAsServiceAccount(granted in the project that owns the service account). In addition,runAsServiceAccountneeds roles on downstream Google Cloud resources.
Check both bindings before retrying. For Pub/Sub, Eventarc, and Connector Event triggers, a run-as service account (roles/iam.serviceAccountUser) denial records a failed execution and the event is not redelivered.
Recovery Actions (Require User Confirmation)
Always display the exact command and obtain user confirmation before running :cancel, :replay, :lift, or :resolve. :cancel requires integrations.executions.cancel and :replay requires integrations.executions.replay (both are held by roles/integrations.integrationInvoker, roles/integrations.integrationEditor, and roles/integrations.integrationAdmin—not by roles/integrations.suspensionResolver or roles/integrations.integrationViewer, so approvers with only roles/integrations.suspensionResolver cannot cancel a stuck SUSPENDED run). :replay also enforces two preconditions that return FAILED_PRECONDITION: (a) test-case runs cannot be replayed in any mode ("Test runs cannot be replayed."), and (b) REPLAY_MODE_POINT_OF_FAILURE is refused for executions that ran with database persistence (local logging / databasePersistencePolicy: DATABASE_PERSISTENCE_DISABLED) disabled because it needs execution snapshots—use REPLAY_MODE_FROM_BEGINNING in that case. When overriding inputs on :replay with modifiedParameters and updateMask, list every overridden key in updateMask; without updateMask, all original inputs are discarded and only modifiedParameters are used, and a key in updateMask missing from modifiedParameters is an error.
# Cancel an execution in PENDING (console "On hold"), RETRY_ON_HOLD, or SUSPENDED state (requires integrations.executions.cancel)
# (Cannot cancel executions in PROCESSING state [console "In process"], completed runs [SUCCEEDED, FAILED, CANCELLED], or Schedule-trigger runs; approvers with only roles/integrations.suspensionResolver cannot cancel a stuck SUSPENDED run)
curl -X POST \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \
-H "Content-Type: application/json" \
-d '{"cancelReason": "Canceling stuck execution after investigation"}' \
"https://integrations.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/integrations/INTEGRATION_NAME/executions/EXECUTION_ID:cancel"
# Replay a SUCCEEDED, FAILED, or CANCELLED execution on a published integration (Preview; requires integrations.executions.replay; test-case runs and Schedule-trigger runs cannot be replayed)
# replayMode: REPLAY_MODE_FROM_BEGINNING or REPLAY_MODE_POINT_OF_FAILURE (failed runs only; refused with FAILED_PRECONDITION if databasePersistencePolicy was DATABASE_PERSISTENCE_DISABLED—use REPLAY_MODE_FROM_BEGINNING in that case)
# Optional modifiedParameters/updateMask: list every overridden key in updateMask; without updateMask, all original inputs are discarded and only modifiedParameters are used; a key in updateMask missing from modifiedParameters is an error
curl -X POST \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \
-H "Content-Type: application/json" \
-d '{"replayReason": "Replay after fixing downstream permission", "replayMode": "REPLAY_MODE_POINT_OF_FAILURE"}' \
"https://integrations.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/integrations/INTEGRATION_NAME/executions/EXECUTION_ID:replay"Reference Files
Load the matching reference file when you need deeper details, exact field names, or edge-case checks:
Usage Attribution: Usage attribution for
gcloudCLI commands, directcurlREST calls, and Python discovery-client snippets run in the terminal.Execution States:
ExecutionDetails.stateandTaskExecutionDetails.taskExecutionStateenums,executions.listfilter operators, large-log workarounds (> 300 MB), and:cancel/:replayconstraints.Logging and Monitoring: Local logging vs Cloud Logging interactions, enabling Cloud Logging on a draft version, Logs Explorer queries,
integrations.googleapis.com/*andconnectors.googleapis.com/*metric schemas, and alerting setup.Common Errors: HTTP/gRPC error codes, the two-sided 403 checklist, the October 15, 2026 run-as service account requirement, task-level limits and gotchas, and ADK
ApplicationIntegrationToolseterrors.Connectors Health:
ConnectionStatus.state,EventingStatus.state,connectionSchemaMetadataprobes, runtime v2 readiness calls, node throttling (HTTP 429), and separating connection auth from caller IAM.Suspensions: Suspend vs Approval vs Timer behavior,
suspensions.list/:lift/:resolvepayloads, expiration settings, and why approvals stay stuck withoutroles/iam.serviceAccountUser.
Files
- ATTRIBUTION.mdAdded by AutoGineer896 B
- LICENSELicence file added by AutoGineer11.1 KiB
- SKILL.md23.7 KiB
- references/attribution.md5.0 KiB
- references/common-errors.md16.7 KiB
- references/connectors-health.md10.4 KiB
- references/execution-states.md14.4 KiB
- references/logging-and-monitoring.md9.9 KiB
- references/suspensions.md10.6 KiB
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Requirements and compatibility
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Needs: Needs an MCP server, Needs a command-line tool, Needs Python, Needs Node.js
Security
What our scanner noticed· Low risk
- Instructions that use the network
A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.
Attribution and licence
- Published by
- Publisher
- Google (Official)
- Source
- google/skills · skills/cloud/application-integration-troubleshooting · commit 2194d3b
- Licence
- Apache License 2.0 (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
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Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download application-integration-troubleshooting.zip