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aliyun

AlibabaCloud DevOps MCP Server

Official
by aliyun

create_change_request

Create a change request (merge request) for your repository with specified source and target branches, reviewers, linked work items, and optional AI review trigger.

Instructions

[Code Management] Create a new change request (merge request). Supports specifying source/target branches, reviewers, associated work items, and optional AI review trigger.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleYes标题,不超过256个字符。示例:'mr title' 或 '修复登录bug'
createFromNo创建来源。WEB - 页面创建(默认)WEB
descriptionNo描述,不超过10000个字符。示例:'mr description' 或 '修复了用户登录时的验证逻辑问题'
workItemIdsNo关联工作项ID列表,以字符串形式逗号分隔。示例值:722200214032b6b31e6f1434ab,xxx
repositoryIdYes代码库ID或全路径(斜杠须编码为%2F),如 2835387 或 myorg%2FmyRepo
sourceBranchYes源分支名称,即要合并的分支。示例:'demo-branch' 或 'feature/user-login'
targetBranchYes目标分支名称,即合并到的分支。示例:'master' 或 'main'
organizationIdYes组织ID
reviewerUserIdsNo评审人用户ID列表。示例:['62c795xxxb468af8'] 或 ['62c795xxxb468af8', '62c795xxxb468af9']
sourceProjectIdNo源库ID,如果未提供,将尝试自动获取。示例:2813489
targetProjectIdNo目标库ID,如果未提供,将尝试自动获取。示例:2813489
triggerAIReviewRunNo是否触发AI评审。true - 触发AI评审;false - 不触发(默认)
Install Server

TDQS

A3.8/5.0
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 disclosure burden. It restates actions and parameter categories ('Supports specifying...') and adds only a hint about optional AI review. It does not disclose permissions, side effects, what happens after creation, or error conditions, making behavioral transparency weak.

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?

A single, front-loaded sentence states the action and lists key supported options in a compact parallel structure. There is no filler or redundant content, making it appropriately concise for a create-tool description.

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

Completeness4/5

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

The schema provides rich parameter details and required fields, while the description gives a sufficient overview for tool selection. However, without annotations or an output schema, it does not describe return values or side effects; still, the schema's completeness covers most invocation needs.

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%; every parameter has a detailed description with examples and constraints. The tool description offers only a high-level summary (branches, reviewers, work items, AI review) that does not add meaning beyond the schema, so the baseline of 3 applies.

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 states 'Create a new change request (merge request)' with a specific verb and resource, clarifying the merge-request equivalence. It lists key capabilities (source/target branches, reviewers, work items, AI review) that distinguish it from sibling get/update/list/review/merge tools.

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 verb 'Create' clearly signals when to use this tool, and the parenthetical '(merge request)' adds context. However, it does not explicitly mention alternatives or exclusions (e.g., 'for updates use...'), so it provides clear context without exclusionary guidance.

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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