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Inspect agent endpoint, correlation, delegated claims, response schema, tool approval and timeout behavior. This step belongs to Foundry to Copilot Studio agent orchestration rather than the complementary pair here. The required action is: Expose Power Platform operations to Foundry agents using governed MCP servers and explicit tool schemas, permissions and audit traces. And its evidence is: Inspect MCP tool descriptions, allowed identity, read/write separation, approval gates, payload validation and agent run logs.

A partial failure triggers the intended compensation and no false success notification is sent. This step belongs to Power Automate Scope run-after and failure handling rather than the complementary pair here. The required action is: Expose Power Platform operations to Foundry agents using governed MCP servers and explicit tool schemas, permissions and audit traces. And its evidence is: Inspect MCP tool descriptions, allowed identity, read/write separation, approval gates, payload validation and agent run logs.

Evaluate agent tool-choice quality with representative test cases and require human approval for high-impact data writes. This step belongs to Agent evaluation and human approval for side effects rather than the complementary pair here. The required action is: Expose Power Platform operations to Foundry agents using governed MCP servers and explicit tool schemas, permissions and audit traces. And its evidence is: Inspect MCP tool descriptions, allowed identity, read/write separation, approval gates, payload validation and agent run logs.

Inspect solution variable current values, environment ownership, deployment settings and fallback behavior. These checks are relevant to Code app environment variables and release-specific config, but are not the most discriminating first evidence for this case. Inspect instead: Inspect connector table binding, logical name, lookup ID, supported action, filter and returned service error codes.

Review manifest input/output types, updateView context, change notification frequency, cleanup and rendered DOM subscriptions. These checks are relevant to PCF lifecycle methods and output notification, but are not the most discriminating first evidence for this case. Inspect instead: Inspect connector table binding, logical name, lookup ID, supported action, filter and returned service error codes.

Inspect event handler properties, passExecutionContext setting, formContext acquisition, loaded form attributes and handler scope. These checks are relevant to Model-driven formContext from execution context, but are not the most discriminating first evidence for this case. Inspect instead: Inspect connector table binding, logical name, lookup ID, supported action, filter and returned service error codes.

Choose a standard Dataverse table for native persistence and offline-style features, and a virtual table when live external rows must remain at their source and provider limitations are accepted. This step belongs to Standard versus virtual Dataverse tables rather than the complementary pair here. The required action is: Apply Dataverse security roles, teams and business-unit ownership plus application-user permissions to authorize the component at the correct data scope. And its evidence is: Inspect role privileges at access levels, ownership, team membership, row sharing, managed-environment policy and effective caller identity.

Inspect data location, required transaction participation, authentication type, operation contract, caller scope and rate limits. This step belongs to Custom connector boundary versus plug-in endpoint rather than the complementary pair here. The required action is: Apply Dataverse security roles, teams and business-unit ownership plus application-user permissions to authorize the component at the correct data scope. And its evidence is: Inspect role privileges at access levels, ownership, team membership, row sharing, managed-environment policy and effective caller identity.

The agent executes only permitted actions and produces traceable responses under the invoking user's entitlements. This step belongs to Agent integration architecture using Copilot Studio rather than the complementary pair here. The required action is: Apply Dataverse security roles, teams and business-unit ownership plus application-user permissions to authorize the component at the correct data scope. And its evidence is: Inspect role privileges at access levels, ownership, team membership, row sharing, managed-environment policy and effective caller identity.

Evaluate an elastic table for high-volume partitioned Dataverse workloads only after confirming partition keys, feature limits and transactional requirements. That action addresses Elastic table and high-volume data pattern instead. Elastic tables differ from standard tables; their scale benefits do not eliminate data-model and partition tradeoffs. For this case, the targeted action is: Instrument Power Apps, cloud flows, plug-ins and Azure integrations with correlated operation IDs and Application Insights or approved monitor alerts.

Design a custom connector for an external REST capability and a Dataverse custom API for a supported reusable business operation inside Dataverse. That action addresses Custom connector boundary versus plug-in endpoint instead. A connector exposes external services while a custom API defines a Dataverse operation; they are not interchangeable transaction models. For this case, the targeted action is: Instrument Power Apps, cloud flows, plug-ins and Azure integrations with correlated operation IDs and Application Insights or approved monitor alerts.

Use solution environment variables for per-environment configuration and connection references for connector bindings, rather than hardcoded identifiers or secrets. That action addresses Environment variables and connection references instead. Environment variables are configuration inputs; they do not replace safe credential storage or connector authorization. For this case, the targeted action is: Instrument Power Apps, cloud flows, plug-ins and Azure integrations with correlated operation IDs and Application Insights or approved monitor alerts.

Use the supported Work IQ and Dataverse integration context to ground agent responses in accessible enterprise data, with least privilege and citation to records. That action addresses Work IQ grounded Dataverse access for agents instead. Grounded search and tool access are not equivalent to blanket read rights across every table. For this case, the targeted action is: Define a Dataverse custom API with request/response properties, allowed caller, binding type and registered plug-in implementation.

Use Dataverse row ETags and If-Match for concurrency-sensitive updates rather than silently overwriting newer edits. That action addresses Optimistic concurrency ETag If-Match instead. Optimistic concurrency protects a versioned row but does not itself merge conflicting business values. For this case, the targeted action is: Define a Dataverse custom API with request/response properties, allowed caller, binding type and registered plug-in implementation.

Use supported Power Platform managed identity for eligible plug-in outbound access and publish business events through configured secure contracts. That action addresses Plug-in managed identity and business events instead. Managed identities reduce secret management but do not grant target resource permissions automatically. For this case, the targeted action is: Define a Dataverse custom API with request/response properties, allowed caller, binding type and registered plug-in implementation.

Inspect source authoritative field, version/ETag, deleted marker, reprocessing window and recovery checkpoint. These checks are relevant to Incremental sync conflict and deletion recovery, but are not the most discriminating first evidence for this case. Inspect instead: Inspect message pipeline stage, endpoint configuration, event payload, caller identity, service bus connectivity and logs.

Inspect Function authentication, request/response mapping, OpenAPI action, error status, timeout and log correlation. These checks are relevant to Azure Function-backed connector transformation, but are not the most discriminating first evidence for this case. Inspect instead: Inspect message pipeline stage, endpoint configuration, event payload, caller identity, service bus connectivity and logs.

Inspect delivery attempt logs, event ID, consumer receipt store, downstream transaction and retry/backoff handling. These checks are relevant to Dataverse event endpoint deduplication and retry, but are not the most discriminating first evidence for this case. Inspect instead: Inspect message pipeline stage, endpoint configuration, event payload, caller identity, service bus connectivity and logs.

A confirmation can be cancelled safely without accidental update, and accessible feedback appears on the intended form. This result validates Client notifications dialogs and navigation instead of the component in question. Here the specific acceptance check is: Records are created or updated only in intended tables and table choices resolve to supported metadata values.

The component builds, is discoverable and binds to expected columns without manifest/schema mismatch. This result validates PCF ControlManifest inputs and resources instead of the component in question. Here the specific acceptance check is: Records are created or updated only in intended tables and table choices resolve to supported metadata values.

The form shows the right related data without freezing the UI, losing pages or returning unauthorized records. This result validates Dataverse Xrm.WebApi asynchronous lookups instead of the component in question. Here the specific acceptance check is: Records are created or updated only in intended tables and table choices resolve to supported metadata values.

Inspect key attributes, target Entity, UpsertResponse RecordCreated, error handling, ownership and retry idempotency. These checks are relevant to Dataverse UpsertRequest idempotent load, but are not the most discriminating first evidence for this case. Inspect instead: Inspect key definition state, source identifier uniqueness, case handling, composite columns and existing duplicate rows.

Inspect message pipeline stage, endpoint configuration, event payload, caller identity, service bus connectivity and logs. These checks are relevant to Dataverse IServiceEndpointNotificationService event publish, but are not the most discriminating first evidence for this case. Inspect instead: Inspect key definition state, source identifier uniqueness, case handling, composite columns and existing duplicate rows.

Inspect registration tool endpoint URL, authentication method, execution mode, delivery logs and returned status codes. These checks are relevant to Webhook integration endpoint authentication and registration, but are not the most discriminating first evidence for this case. Inspect instead: Inspect key definition state, source identifier uniqueness, case handling, composite columns and existing duplicate rows.

Define a supported OpenAPI contract with stable operationIds, schemas, types and authentication before importing a custom connector. This step belongs to Custom connector OpenAPI and operation identifiers rather than the complementary pair here. The required action is: Create a custom connector to a governed Azure Function API with documented OpenAPI schema, bounded response transforms and monitored errors. And its evidence is: Inspect Function authentication, request/response mapping, OpenAPI action, error status, timeout and log correlation.

Inspect authorization URL, scopes, redirect URI, token audience, policy template rules and deployment connection references. This step belongs to Custom connector OAuth and policy templates rather than the complementary pair here. The required action is: Create a custom connector to a governed Azure Function API with documented OpenAPI schema, bounded response transforms and monitored errors. And its evidence is: Inspect Function authentication, request/response mapping, OpenAPI action, error status, timeout and log correlation.

Repeating the same upstream feed does not duplicate Dataverse records and updates the intended row. This step belongs to Dataverse UpsertRequest idempotent load rather than the complementary pair here. The required action is: Create a custom connector to a governed Azure Function API with documented OpenAPI schema, bounded response transforms and monitored errors. And its evidence is: Inspect Function authentication, request/response mapping, OpenAPI action, error status, timeout and log correlation.

The UX reports a specific failed flow run and permits safe retry rather than claiming the business operation succeeded. This result validates Code app use of Power Automate cloud flow instead of the component in question. Here the specific acceptance check is: The app displays agent results with attributable tool calls and blocks unauthorized record writes.

The intended app instance uses the new control after import without manually copying source files. This result validates Packaging and deploying PCF in solution instead of the component in question. Here the specific acceptance check is: The app displays agent results with attributable tool calls and blocks unauthorized record writes.

A confirmation can be cancelled safely without accidental update, and accessible feedback appears on the intended form. This result validates Client notifications dialogs and navigation instead of the component in question. Here the specific acceptance check is: The app displays agent results with attributable tool calls and blocks unauthorized record writes.

Use supported Power Platform managed identity for eligible plug-in outbound access and publish business events through configured secure contracts. That action addresses Plug-in managed identity and business events instead. Managed identities reduce secret management but do not grant target resource permissions automatically. For this case, the targeted action is: Configure timer or queue triggers with schedule, delivery guarantees, failure behavior and concurrency suited to the Power Platform job.

Use child flows inside solutions to share reusable logic with declared inputs, outputs and correct run-only connection behavior. That action addresses Child flows and solution connection references instead. An arbitrary standalone flow cannot always be used directly as a solution child flow without the correct trigger and context. For this case, the targeted action is: Configure timer or queue triggers with schedule, delivery guarantees, failure behavior and concurrency suited to the Power Platform job.

Use Azure Functions to offload expensive work from synchronous Dataverse plug-ins while authenticating separately and tracking completion. That action addresses Azure Functions for long-running Dataverse work instead. Function execution is not automatically atomic with the Dataverse operation that queued it. For this case, the targeted action is: Configure timer or queue triggers with schedule, delivery guarantees, failure behavior and concurrency suited to the Power Platform job.