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mshegolev

harbor-registry-mcp

harbor_list_artifacts

Read-onlyIdempotent

List artifacts (tags) in a Harbor repository, newest first, showing digest, size, push/pull timestamps, and vulnerability scan results. Use pagination for large repositories.

Instructions

List artifacts (tags) in a repository, newest first.

Each artifact carries digest, size, push/pull timestamps, scan status and vulnerability counts (if scanned).

Pagination: if has_more is True, call again with page + 1. For repositories with hundreds of artifacts prefer harbor_storage_report or harbor_cleanup_candidates which paginate internally.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_nameYesHarbor project name.
repository_nameYesRepository name within the project.
pageNoPage number (1-based).
page_sizeNoItems per page (1-100).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectYes
repositoryYes
total_sizeYes
total_size_bytesYes
artifacts_countYes
pageYes
page_sizeYes
has_moreYes
next_pageYes
artifactsYes
Behavior4/5

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

Annotations already declare readOnlyHint, destructiveHint, and idempotentHint, so safety is clear. The description adds useful behavioral context such as the fields returned (digest, size, timestamps, scan status) and pagination with has_more flag.

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 concise with 4 sentences: purpose, returned fields, pagination, and alternative recommendations. No unnecessary words.

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

Completeness5/5

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

Given the tool's complexity (4 parameters, output schema), the description covers purpose, usage, behavioral details, and alternatives comprehensively. It is fully adequate for agent selection and invocation.

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?

Input schema has 100% description coverage for all 4 parameters. The description adds value by explaining the pagination behavior and the has_more flag, which are not 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 lists artifacts (tags) in a repository, newest first, which is a specific verb and resource. It distinguishes itself from siblings like harbor_storage_report and harbor_cleanup_candidates by noting their internal pagination.

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

Usage Guidelines5/5

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

The description explicitly advises preferring harbor_storage_report or harbor_cleanup_candidates for repositories with hundreds of artifacts, providing clear when-to-use guidance. It also explains pagination mechanics.

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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