Skip to main content
Glama
Tiberriver256

Azure DevOps MCP Server

list_pipelines

Retrieve a list of pipelines from an Azure DevOps project, with optional limits on result count and ordering by fields such as created date.

Instructions

List pipelines in a project

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectIdNoThe ID or name of the project (Default: MyProject)
topNoMaximum number of pipelines to return
orderByNoOrder by field and direction (e.g., "createdDate desc")
Behavior2/5

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

With no annotations, the description must disclose behavioral traits. It only says 'list' without detailing default behavior (e.g., pagination, sorting direction, whether it returns all or a subset). The schema provides some parameter details, but the description adds no behavioral context beyond the verb.

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 is concise and front-loaded. It communicates the core purpose without waste, though it could be slightly more informative.

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?

Given the lack of output schema and the number of sibling tools, the description does not provide enough context about what the tool returns (e.g., list of pipeline summaries, metadata) or how it relates to other tools. It is incomplete for an AI agent to use confidently.

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% (all parameters have descriptions), so the description adds no additional meaning beyond what the schema provides. Baseline score is appropriate.

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 'List pipelines in a project' clearly states the verb (list) and resource (pipelines) with a scope (in a project). It distinguishes from siblings like get_pipeline (single pipeline) and list_pipeline_runs (pipeline runs).

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 (e.g., get_pipeline for a single pipeline, list_pipeline_runs for runs). The description gives no context about prerequisites or typical use cases.

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/Tiberriver256/mcp-server-azure-devops'

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