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Stride — AI software delivery platform

Get test run

stride.get_test_run
Read-onlyIdempotent

Fetch a single Stride test run by id. Returns name, status, environment, executedAt, notes, suiteId, parentRunId, and a result summary: counts by PASSED/FAILED/BLOCKED/SKIPPED over EXECUTED results (total), plus notExecuted for rows that never ran, totalResults for every row and withDefect for rows carrying a defect; linkedDefects lists the distinct defects those rows link (id/title/severity/status + the testCaseIds that link each). Use stride.list_test_results for the individual result rows.

Input Schema

NameRequiredDescriptionDefault
testRunIdYesThe Stride test run UUID.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior5/5

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

Annotations cover the safety profile (readOnly, idempotent, non-destructive, closed-world), and the description goes well beyond them: it enumerates the returned fields and precisely defines the result-summary semantics (counts over EXECUTED results, notExecuted, totalResults, withDefect, linkedDefects with their testCaseIds). That is the key ambiguous behavior for a read tool with no output schema.

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?

Front-loaded with the one-line purpose, then the return detail. The second sentence is dense and semicolon-chained, but nearly every clause carries distinct, non-derivable information.

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

Completeness5/5

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

With no output schema, the description fully documents the return shape and summary-field semantics, which is exactly what an agent needs to interpret the response. Nothing material is missing for a one-parameter read tool.

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 coverage is 100% and the single parameter is documented as the Stride test run UUID. The description only restates "by id" without adding format or edge-case guidance, so the schema does the work.

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?

States a specific verb and resource with scope: "Fetch a single Stride test run by id." It explicitly distinguishes itself from stride.list_test_results and, by implication, from stride.list_test_runs by fetching one record rather than a collection.

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?

Explicitly routes the agent to stride.list_test_results when individual result rows are needed, which is the most likely confusion point. It doesn't address when to prefer stride.list_test_runs with a filter, but the single-by-id scope makes that fairly obvious.

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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