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yjiace

AlibabaCloud DevOps MCP Server

by yjiace

list_service_connections

Retrieve and filter service connections for Alibaba Cloud DevOps tools like Codeup, ECS, Kubernetes, and OSS within an organization to manage integrations.

Instructions

[Service Connection Management] List service connections in an organization with filtering options

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
organizationIdYes组织ID,可在组织管理后台的基本信息页面获取
serviceConnectionTypeYes服务连接类型: aliyun_code-阿里云代码, codeup-Codeup, gitee-码云, github-Github, ack-容器服务Kubernetes(ACK), docker_register_aliyun-容器镜像服务(ACR), ecs-ECS主机, edas-企业级分布式应用(EDAS), emas-移动研发平台(EMAS), fc-阿里云函数计算(FC), kubernetes-自建k8s集群, oss-对象存储(OSS), packages-制品仓库, ros-资源编排服务(ROS), sae-Serverless应用引擎(SAE)
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. It states it's a list operation, implying read-only behavior, but lacks details on permissions, pagination, rate limits, or response format. The description is minimal and does not compensate for the absence of annotations.

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 a single, efficient sentence that front-loads the core purpose ('List service connections in an organization') and adds a brief qualifier ('with filtering options'). There is no wasted wording or redundancy.

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 the tool's complexity (simple list with filtering), 100% schema coverage, and no output schema, the description is adequate but minimal. It covers the basic purpose but lacks behavioral details (e.g., response structure, error handling) that would be helpful for an agent, especially without annotations.

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%, with clear descriptions for both parameters (organizationId and serviceConnectionType with enum values). The description adds no additional parameter semantics beyond what the schema provides, so it meets the baseline score for high schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('List') and resource ('service connections in an organization'), making the purpose evident. However, it does not explicitly differentiate this tool from other list tools in the sibling set (e.g., list_applications, list_branches), which prevents a perfect score.

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?

The description mentions 'with filtering options', which implies usage for filtered listing, but provides no explicit guidance on when to use this tool versus alternatives (e.g., other list tools or search functions). No context on prerequisites or exclusions is given.

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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