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Check runtime customization needs, agent tools, API authentication, connector or MCP interface, usage monitoring and data access policy. These checks are relevant to Microsoft Foundry versus Power Platform agent boundary, but are not the most discriminating first evidence for this case. Inspect instead: Inspect environment-variable definition/default/current values, connection-reference binding, deployment settings and secret-storage policy.

Review active layer, publisher, managed property, patch versus upgrade, dependency and current component state. These checks are relevant to Managed solution layers and upgrade behavior, but are not the most discriminating first evidence for this case. Inspect instead: Inspect environment-variable definition/default/current values, connection-reference binding, deployment settings and secret-storage policy.

Compare host form lifecycle, accessibility, reuse, data access, application complexity and deployment requirements. These checks are relevant to Choosing client scripts PCF or code apps, but are not the most discriminating first evidence for this case. Inspect instead: Inspect environment-variable definition/default/current values, connection-reference binding, deployment settings and secret-storage policy.

Multiple callers invoke one stable server-side command that validates inputs and applies consistent authorization. This step belongs to Dataverse custom API contract and plug-in execution rather than the complementary pair here. The required action is: Use the supported Work IQ and Dataverse integration context to ground agent responses in accessible enterprise data, with least privilege and citation to records. And its evidence is: Inspect data connection, access control, relevance filters, record freshness, approved tools and response trace.

Use a supported Copilot Studio client library to invoke agents from app code while handling sessions, authorization, response events and cancellation. This step belongs to Copilot Studio client library consumption rather than the complementary pair here. The required action is: Use the supported Work IQ and Dataverse integration context to ground agent responses in accessible enterprise data, with least privilege and citation to records. And its evidence is: Inspect data connection, access control, relevance filters, record freshness, approved tools and response trace.

Inspect flow run-history exposure, connector permissions, secret rotation, Key Vault policy and accidental logging. This step belongs to Secure inputs outputs Key Vault and secret handling rather than the complementary pair here. The required action is: Use the supported Work IQ and Dataverse integration context to ground agent responses in accessible enterprise data, with least privilege and citation to records. And its evidence is: Inspect data connection, access control, relevance filters, record freshness, approved tools and response trace.

Repeating the same upstream feed does not duplicate Dataverse records and updates the intended row. This result validates Dataverse UpsertRequest idempotent load instead of the component in question. Here the specific acceptance check is: A failed run resumes from a safe checkpoint without overwriting newer edits or resurrecting deleted rows.

The connector surfaces callable typed actions that send valid requests to the intended backend. This result validates Custom connector OpenAPI and operation identifiers instead of the component in question. Here the specific acceptance check is: A failed run resumes from a safe checkpoint without overwriting newer edits or resurrecting deleted rows.

Events are consumed through the correct broker behavior with detectable retries and intentional retention. This result validates Azure Service Bus and Event Hub endpoint selection instead of the component in question. Here the specific acceptance check is: A failed run resumes from a safe checkpoint without overwriting newer edits or resurrecting deleted rows.

The business event arrives with enough immutable identifier and operation context for safe downstream handling. This result validates Dataverse IServiceEndpointNotificationService event publish instead of the component in question. Here the specific acceptance check is: An incremental sync catches updates and deletions without rescanning every row or missing changes during paging.

Power Apps and flows call the function with stable typed payloads and receive normalized responses without brittle client parsing. This result validates Azure Function-backed connector transformation instead of the component in question. Here the specific acceptance check is: An incremental sync catches updates and deletions without rescanning every row or missing changes during paging.

The intended webhook listener receives authenticated events and rejects unrelated sources without exposing credentials. This result validates Webhook integration endpoint authentication and registration instead of the component in question. Here the specific acceptance check is: An incremental sync catches updates and deletions without rescanning every row or missing changes during paging.

Repeating the same upstream feed does not duplicate Dataverse records and updates the intended row. This result validates Dataverse UpsertRequest idempotent load instead of the component in question. Here the specific acceptance check is: Two systems identify the same business record by stable external key without depending on environment-specific GUIDs.

The connector surfaces callable typed actions that send valid requests to the intended backend. This result validates Custom connector OpenAPI and operation identifiers instead of the component in question. Here the specific acceptance check is: Two systems identify the same business record by stable external key without depending on environment-specific GUIDs.

Events are consumed through the correct broker behavior with detectable retries and intentional retention. This result validates Azure Service Bus and Event Hub endpoint selection instead of the component in question. Here the specific acceptance check is: Two systems identify the same business record by stable external key without depending on environment-specific GUIDs.

Package PCF through supported tooling, include built assets in a solution and bind the component to the intended column or dataset. That action addresses Packaging and deploying PCF in solution instead. A successful npm build is not equivalent to deploying and configuring a PCF in the target environment. For this case, the targeted action is: Invoke a solution-managed cloud flow from a code app with well-defined input/output schemas and bounded timeout/error handling.

Read environment variables via supported Power Platform mechanism and keep endpoints, feature flags and tenant configuration separate from code. That action addresses Code app environment variables and release-specific config instead. Client-exposed configuration must not contain secrets; environment variables do not make embedded keys confidential. For this case, the targeted action is: Invoke a solution-managed cloud flow from a code app with well-defined input/output schemas and bounded timeout/error handling.

Configure a modern model-driven command with Power Fx visibility/action rules or supported JavaScript, matching permissions and saved state. That action addresses Command bar Power Fx and JavaScript rules instead. A hidden command is a UX convenience, not a security control for direct API access. For this case, the targeted action is: Invoke a solution-managed cloud flow from a code app with well-defined input/output schemas and bounded timeout/error handling.

The component degrades predictably on an unsupported host without exposing data or crashing. This step belongs to PCF WebAPI Device and Utility usage rather than the complementary pair here. The required action is: Use supported code-app Dataverse data APIs to perform CRUD and read table metadata with correct logical names, permissions and paging. And its evidence is: Inspect connector table binding, logical name, lookup ID, supported action, filter and returned service error codes.

Inspect control manifest property of-type, usage, component namespace, platform libraries and compiled resource paths. This step belongs to PCF ControlManifest inputs and resources rather than the complementary pair here. The required action is: Use supported code-app Dataverse data APIs to perform CRUD and read table metadata with correct logical names, permissions and paging. And its evidence is: Inspect connector table binding, logical name, lookup ID, supported action, filter and returned service error codes.

Read environment variables via supported Power Platform mechanism and keep endpoints, feature flags and tenant configuration separate from code. This step belongs to Code app environment variables and release-specific config rather than the complementary pair here. The required action is: Use supported code-app Dataverse data APIs to perform CRUD and read table metadata with correct logical names, permissions and paging. And its evidence is: Inspect connector table binding, logical name, lookup ID, supported action, filter and returned service error codes.

The agent executes only permitted actions and produces traceable responses under the invoking user's entitlements. This result validates Agent integration architecture using Copilot Studio instead of the component in question. Here the specific acceptance check is: Callers reach the intended business operation through a stable contract with its security boundary explicit.

A blocked quality gate prevents production import while an approved release is traceable to a specific package hash. This result validates Power Platform pipelines and CI deployment gates instead of the component in question. Here the specific acceptance check is: Callers reach the intended business operation through a stable contract with its security boundary explicit.

The rule works for supported users without maintaining custom code and the exception cases remain correct. This result validates Out-of-box table/form choice versus server extension instead of the component in question. Here the specific acceptance check is: Callers reach the intended business operation through a stable contract with its security boundary explicit.

Events are consumed through the correct broker behavior with detectable retries and intentional retention. This result validates Azure Service Bus and Event Hub endpoint selection instead of the component in question. Here the specific acceptance check is: A failed run resumes from a safe checkpoint without overwriting newer edits or resurrecting deleted rows.

Two systems identify the same business record by stable external key without depending on environment-specific GUIDs. This result validates Alternate keys for external identifiers instead of the component in question. Here the specific acceptance check is: A failed run resumes from a safe checkpoint without overwriting newer edits or resurrecting deleted rows.

The intended webhook listener receives authenticated events and rejects unrelated sources without exposing credentials. This result validates Webhook integration endpoint authentication and registration instead of the component in question. Here the specific acceptance check is: A failed run resumes from a safe checkpoint without overwriting newer edits or resurrecting deleted rows.

Use supported Xrm.Navigation dialogs, notifications and openForm or navigateTo APIs rather than manipulating window location directly. That action addresses Client notifications dialogs and navigation instead. Client API navigation/dialog methods provide supported host behavior that ad hoc browser redirects may bypass. For this case, the targeted action is: Package PCF through supported tooling, include built assets in a solution and bind the component to the intended column or dataset.

Use PCF context.webAPI, device and utility features only where supported by the intended host; fall back gracefully when unavailable. That action addresses PCF WebAPI Device and Utility usage instead. Device features and Web API capabilities can differ across hosts and platforms; test the actual target. For this case, the targeted action is: Package PCF through supported tooling, include built assets in a solution and bind the component to the intended column or dataset.

Use supported code-app Dataverse data APIs to perform CRUD and read table metadata with correct logical names, permissions and paging. That action addresses Code app Dataverse metadata and table operations instead. Display labels can differ from Dataverse logical names and a successful connection does not imply every table privilege. For this case, the targeted action is: Package PCF through supported tooling, include built assets in a solution and bind the component to the intended column or dataset.

External calls obtain short-lived authorized credentials without embedded client secrets and generate attributable events. This result validates Plug-in managed identity and business events instead of the component in question. Here the specific acceptance check is: Transient throttling recovers without overwhelming Dataverse or creating duplicate rows.

Long-running processing completes independently of the initiating save and reports its final status later. This result validates Azure Functions for long-running Dataverse work instead of the component in question. Here the specific acceptance check is: Transient throttling recovers without overwhelming Dataverse or creating duplicate rows.

The unattended flow continues after an employee leaves and fails safely on permission or data errors. This result validates Dataverse connector service principal and retry policies instead of the component in question. Here the specific acceptance check is: Transient throttling recovers without overwhelming Dataverse or creating duplicate rows.