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Submit Manual Test Results

submit_manual_test_results

Submit manual test results for a test session, providing outcomes, status, and optional details like duration and steps.

Instructions

Submit manual execution results for a manual session.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultsYesManual result payloads. When an item includes result_id from list_launch_test_results, the service resolves that existing launch result in place through TestOps' test-result run controller. After rerun_test_results_manually, re-list launch results and submit against the newly visible active result for that test case. The returned result_ids are the resolved result IDs to use for follow-up attachments and reads. As a lower-level fallback, you may still provide launch_id + test_case_id + name/full_name explicitly to create a standalone manual result. Optional fields include status/start/stop/duration/message/trace/description/precondition/expected_result/steps.
project_idNoOptional override for the default Project ID.
output_formatNoOutput format: 'json' (default) or 'plain'.
test_session_idYesManual test session ID (required).
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The annotations provide no safety profile (all false). The description of the 'results' parameter adds some behavioral context, such as resolution of existing results and fallback behavior, but does not comprehensively disclose side effects or permissions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that efficiently conveys the primary action. However, it could be slightly enhanced by including key behavioral hints from the result parameter description without becoming verbose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool description does not explain the return value or the overall workflow, which is important given the complexity of the 'results' parameter. The absence of an output schema further reduces completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents all parameters well. The tool-level description adds minimal extra meaning beyond what is in the parameter descriptions, leading to a baseline score.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Submit') and the resource ('manual execution results for a manual session'), which distinguishes it from sibling tools like 'start_manual_test_session' or 'upload_test_results'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives such as 'upload_test_results' or 'rerun_test_results_manually'. The description lacks context for proper selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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