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kutleloove

google-cloud-console-mcp

by kutleloove

List packages in a repository

ar_list_packages

Lists packages such as Docker image names within a specified Artifact Registry repository. Provide location and repository to retrieve and manage container images.

Instructions

Lists packages (e.g. Docker image names) within a repository.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
locationYesRegion, e.g. "us-central1", or "us" for a multi-region
pageTokenNo
projectIdNoGCP project id; defaults to GOOGLE_CLOUD_PROJECT env var
repositoryYesArtifact Registry repository id

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden. 'Lists' implies a read-only operation, but nothing is said about pagination despite a pageToken parameter, nor about required permissions or result ordering. The example clarifying package semantics is the only added value.

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?

A single front-loaded sentence with zero filler and no redundancy. It is efficient, though its brevity leaves little room for the routing or pagination context an agent would benefit from.

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?

For a simple 4-parameter list tool with no output schema, the description is minimally adequate. The notable gap is pagination: a pageToken parameter exists but the description never signals that results are paged or how to continue, which matters for correct invocation.

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 75%, with location, projectId, and repository documented in-schema, so most parameter meaning is already carried by structured data. The description adds no parameter detail at all, leaving the undocumented pageToken (pagination behavior) unexplained, so it neither compensates nor regresses.

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 states a specific verb (Lists) and resource (packages) with a scope qualifier (within a repository), and the parenthetical example clarifies that 'package' means things like Docker image names. It does not explicitly distinguish itself from siblings like ar_list_repositories or ar_list_versions, but the resource is unambiguous.

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?

There is no when-to-use guidance, no prerequisites, and no named alternatives despite several related listing tools in the sibling set (ar_list_repositories, ar_list_versions). An agent must infer from the name alone when this tool is appropriate versus those.

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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