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Stride — AI software delivery platform

Create test run

stride.create_test_run

Create a test run in a Stride project. Required: projectId, name. Optional: suiteId (must be in same project — when given, the run is pre-seeded with one BLOCKED result per non-deprecated case in the suite), environment, pairKey, status (PLANNED|RUNNING|COMPLETED|ABORTED, default PLANNED). For the normal workflow, create the run as PLANNED, then set completeRun=true on the final stride.record_test_results batch.

Input Schema

NameRequiredDescriptionDefault
nameYes
statusNoPLANNED
pairKeyNoModernize parity: shared key linking a legacy-baseline run to its target run. Post the same suite twice with one pairKey, environment "legacy-baseline" then "target".
suiteIdNoTest suite UUID (must be in same project).
projectIdYesProject UUID.
environmentNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare this is a non-destructive, non-idempotent write, so the description is not carrying the safety burden. It still adds real behavioral value beyond them: the suiteId side effect (pre-seeds one BLOCKED result per non-deprecated case), the PLANNED default, and the constraint that the suite must be in the same project. Return payload and failure modes (e.g., duplicate names) remain undisclosed.

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

Conciseness5/5

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

One dense paragraph, front-loaded with the action, then the required/optional inventory, then the recommended workflow. The parenthetical about pre-seeded results is long but every clause carries distinct information; nothing is redundant restatement of the annotation or title.

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

Completeness4/5

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

For a 6-parameter mutation with no output schema, the description covers the creation contract, defaults, side effects, and follow-up workflow well. The notable gap is that it does not say what is returned (presumably a run ID needed for the subsequent record_test_results call), which forces the agent to discover that at runtime.

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

Parameters4/5

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

Schema coverage is only 50%, so the description has to compensate, and it largely does: it restates the required/optional split, the status enum and default, and the seeding semantics of suiteId that the schema only glosses as 'must be in same project.' The name parameter's meaning and the environment values are left to the schema (environment only explained indirectly through pairKey's description).

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

Purpose4/5

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

The opening sentence gives a specific verb and resource (create a test run in a Stride project) and immediately enumerates required vs optional inputs. It positions itself in a workflow relative to stride.record_test_results, which helps separate it from recording results, but it never explicitly contrasts itself with close siblings like create_test_suite or delete_test_run.

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

Usage Guidelines4/5

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

'For the normal workflow, create the run as PLANNED, then set completeRun=true on the final stride.record_test_results batch' gives concrete guidance on when to create with which status and what comes next. There are no explicit when-not conditions (e.g., when to create with status RUNNING or COMPLETED directly), so it stops short of full when/why-not coverage.

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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