Skip to main content
Glama
iimsaurav

Azure DevOps MCP Server

by iimsaurav

create_work_item

Add a new work item to an Azure DevOps project with configurable type, title, description, assignment, tags, priority, and parent link.

Instructions

Create a new work item.

Args: project: Azure DevOps project name. Uses default if not specified. work_item_type: Type of work item (e.g., "Bug", "User Story", "Task", "Epic", "Feature"). title: Title of the work item. description: HTML description of the work item. assigned_to: Display name or email of the person to assign to. area_path: Area path (e.g., "MyProject\Team A"). iteration_path: Iteration path (e.g., "MyProject\Sprint 1"). priority: Priority (1=Critical, 2=High, 3=Medium, 4=Low). tags: Semicolon-separated tags (e.g., "frontend; urgent"). additional_fields: Dict of additional field paths and values. parent_id: Optional ID of a parent work item to link to.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectNo
work_item_typeNo
titleNo
descriptionNo
assigned_toNo
area_pathNo
iteration_pathNo
priorityNo
tagsNo
additional_fieldsNo
parent_idNo
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only states it creates a work item but does not mention side effects (e.g., permissions needed, whether it modifies other entities, rate limits, or success/failure responses).

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 front-loaded with the main action and uses a clear bullet list for parameters. It is slightly verbose but remains organized and scannable.

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 11 parameters, no output schema, and no annotations, the description covers parameter semantics well but misses the return value format and error behavior. It is moderately complete for a create tool but could add outcome details.

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 description coverage is 0%, so the description fully explains all 11 parameters. Each parameter has a clear explanation (e.g., 'Tags: Semicolon-separated tags'), which adds value beyond the schema's title and type.

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 'Create a new work item,' which is a specific verb and resource. Among sibling tools like update_work_item and delete_work_item, the purpose is distinct and unambiguous.

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

Usage Guidelines3/5

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

The description does not explicitly guide when to use this tool over alternatives. While it lists parameters, it lacks reasons to choose create over update or delete, nor does it mention prerequisites or 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