Skip to main content
Glama
iimsaurav

Azure DevOps MCP Server

by iimsaurav

get_test_run_results

Retrieve test results for a specific test run in Azure DevOps. Filter by outcome to see passed, failed, or not executed tests.

Instructions

Get test results for a specific test run.

Args: project: Azure DevOps project name. Uses default if not specified. run_id: The test run ID. top: Maximum number of results to return (default: 200). outcome: Optional filter by outcome (e.g., "Passed", "Failed", "NotExecuted").

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectNo
run_idNo
topNo
outcomeNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

The description implies a read-only operation ('Get test results') and lists default values (top=200, project default). However, it does not disclose critical behaviors such as error handling, rate limits, or authentication needs, which is the full burden since no annotations are provided.

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?

The description is short and structured with a clear purpose statement followed by parameter explanations. Every sentence adds value without repetition or filler.

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

Completeness3/5

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

Given 4 parameters and no annotations, the description covers parameter purposes adequately. However, it omits return value structure or pagination details (though an output schema exists to compensate). The completeness is sufficient but not exemplary.

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?

With 0% schema description coverage, the description adds meaning for each parameter (e.g., default behavior for project, filter for outcome). But explanations are brief and lack constraints or format details, providing moderate added value.

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 tool retrieves test results for a specific test run using a specific verb and resource. It distinguishes from sibling tools like list_test_runs, which fetches runs instead.

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 on when to use this tool versus alternatives, nor any scenarios or limitations mentioned. The description is purely functional and lacks usage context.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/iimsaurav/azure-devops-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server