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allanbrunobr

Azure DevOps MCP Server

by allanbrunobr

get_iteration_work_items

Retrieve work items for a specific sprint or iteration path in Azure DevOps to support sprint planning and progress tracking.

Instructions

Get all work items for a specific iteration/sprint path. Faster than query_work_items for sprint planning.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
iterationPathYesFull iteration path (e.g., "MyProject\Sprint 1" or "MyProject\2024\Q1\Sprint 1")
typeNoFilter by work item type (e.g., User Story, Task, Bug)
stateNoFilter by state (e.g., Active, Closed)
topNoMax items to return (default: all)
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions the tool is 'faster' for sprint planning, which adds some context, but it lacks critical details such as whether this is a read-only operation, potential rate limits, authentication requirements, or what the return format looks like (e.g., pagination, structure). For a tool with no annotations, this is a significant gap.

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 appropriately sized and front-loaded, consisting of two concise sentences that directly state the tool's purpose and key advantage. Every sentence earns its place by providing essential information without waste, making it easy to understand quickly.

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 complexity of a tool with 4 parameters, no annotations, and no output schema, the description is incomplete. It lacks details on behavioral aspects (e.g., safety, performance), does not explain return values or error handling, and relies solely on the schema for parameter documentation. For a tool in this context, more comprehensive guidance is needed.

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?

The schema description coverage is 100%, so the input schema already documents all parameters thoroughly. The description does not add any additional meaning or examples beyond what the schema provides (e.g., it doesn't clarify parameter interactions or default behaviors). Thus, it meets the baseline of 3 without compensating for gaps, as there are none in the schema.

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's purpose with a specific verb ('Get') and resource ('work items for a specific iteration/sprint path'), and it explicitly distinguishes it from the sibling tool 'query_work_items' by noting it's 'faster for sprint planning.' This provides clear differentiation from alternatives.

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?

The description provides clear context for when to use this tool ('faster than query_work_items for sprint planning'), which helps guide usage. However, it does not explicitly state when not to use it or mention other potential alternatives among the many sibling tools, such as 'get_sprint_work_items' or 'list_work_items,' leaving some ambiguity.

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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