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yjiace

AlibabaCloud DevOps MCP Server

by yjiace

list_package_repositories

List package repositories in an Alibaba Cloud organization with filtering by type and category to manage software artifacts.

Instructions

[Packages Management] List package repositories in an organization with filtering options

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
organizationIdYesOrganization ID
repoTypesNoRepository types, available values: GENERIC/DOCKER/MAVEN/NPM/NUGET, multiple types can be separated by commas
repoCategoriesNoRepository modes, available values: Hybrid/Local/Proxy/ProxyCache/Group, multiple modes can be separated by commas
perPageNoNumber of items per page, default value is 8
pageNoCurrent page number
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 mentions 'filtering options' but does not disclose critical behavioral traits such as pagination behavior (implied by parameters but not stated), rate limits, authentication needs, or what the output looks like. This is inadequate for a tool with multiple parameters and no output schema.

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, efficient sentence that front-loads the core purpose. It could be slightly more structured by explicitly mentioning pagination or output format, but it avoids unnecessary verbosity.

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 (5 parameters, no annotations, no output schema), the description is incomplete. It does not explain the return values, pagination behavior, or error conditions, leaving significant gaps for an AI agent to understand how to use the tool effectively.

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 schema fully documents all parameters. The description adds no additional meaning beyond mentioning 'filtering options', which is already covered in the schema. This meets the baseline 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 ('package repositories in an organization'), making the purpose evident. However, it does not differentiate this tool from other list tools in the sibling set (e.g., list_repositories, list_applications), which would require a 5.

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 'filtering options' but provides no explicit guidance on when to use this tool versus alternatives. With many sibling tools present, there is no indication of when this specific listing tool is appropriate, leaving usage unclear.

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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