Feature Request — Update Test Point Outcomes / Record Test Run Results
Summary
Currently the Azure DevOps MCP exposes tools to create test plans, suites, and test cases, but provides no way to record the outcome of test execution (Passed / Failed / Blocked / Not Applicable / Not Run).
This makes it impossible for an AI agent to run a test plan end-to-end — it can build the plan and execute the validation logic, but cannot write results back into Azure DevOps.
Requested Tools
| Tool Name |
Underlying ADO REST API |
Purpose |
update_test_point_outcome |
PATCH /testplan/Plans/{planId}/Suites/{suiteId}/TestPoint |
Set outcome (Passed/Failed/Blocked/NotApplicable) on a test point |
create_test_run |
POST /test/runs |
Create a test run for a given plan |
update_test_run_results |
PATCH /test/runs/{runId}/results |
Record step-level and overall results for a test run |
complete_test_run |
PATCH /test/runs/{runId} |
Mark a run as completed |
At minimum, update_test_point_outcome would be sufficient to unblock the most common agentic scenario.
Motivation / Use Case
I recently used an AI agent (GitHub Copilot) to execute a full test plan via the Azure DevOps MCP:
- The agent built 17 test cases across 7 suites from a User Story's acceptance criteria
- It scanned Terraform Git repos, analyzed pipeline run outputs, and queried live infrastructure (Microsoft Fabric Remote MCP+ Microsoft Entra MCP) to validate each test case
- It produced a full execution report with evidence (screenshots, API responses)
The only step that could not be automated was writing the results back into ADO — forcing a manual round-trip in the Execute tab just to mark outcomes that the agent had already determined.
Completing this loop would make the ADO MCP a fully autonomous testing toolchain for agentic workflows.
Suggested Minimal Implementation
// update_test_point_outcome
{
"project": "MyProject",
"planId": 12723,
"suiteId": 12729,
"testPointId": 42,
"outcome": "Passed" // Passed | Failed | Blocked | NotApplicable | NotRun
}
Feature Request — Update Test Point Outcomes / Record Test Run Results
Summary
Currently the Azure DevOps MCP exposes tools to create test plans, suites, and test cases, but provides no way to record the outcome of test execution (Passed / Failed / Blocked / Not Applicable / Not Run).
This makes it impossible for an AI agent to run a test plan end-to-end — it can build the plan and execute the validation logic, but cannot write results back into Azure DevOps.
Requested Tools
update_test_point_outcomePATCH /testplan/Plans/{planId}/Suites/{suiteId}/TestPointcreate_test_runPOST /test/runsupdate_test_run_resultsPATCH /test/runs/{runId}/resultscomplete_test_runPATCH /test/runs/{runId}At minimum,
update_test_point_outcomewould be sufficient to unblock the most common agentic scenario.Motivation / Use Case
I recently used an AI agent (GitHub Copilot) to execute a full test plan via the Azure DevOps MCP:
The only step that could not be automated was writing the results back into ADO — forcing a manual round-trip in the Execute tab just to mark outcomes that the agent had already determined.
Completing this loop would make the ADO MCP a fully autonomous testing toolchain for agentic workflows.
Suggested Minimal Implementation