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RandomSynergy17

Arcane MCP Server

Pull project images

arcane_project_pull_images

Pulls all Docker images for a Docker Compose project by specifying the environment and project IDs.

Instructions

Pull all images for a Docker Compose project

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
environmentIdYesEnvironment ID
projectIdYesProject ID
Behavior2/5

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

The annotations (readOnlyHint=false, destructiveHint=false) indicate the tool modifies state but is not destructive. The description adds no behavioral details beyond the annotations, such as network activity (pulling from registry), idempotency, or error scenarios. For a mutation tool, this is insufficient.

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 sentence of 9 words that directly states the tool's purpose. It is front-loaded and contains no extraneous information, earning its place efficiently.

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 of the domain (Docker Compose projects), the description omits crucial context such as whether all images are pulled, if the operation is scoped to a single compose file, or how it relates to other project lifecycle operations like 'project_up'. The absence of an output schema increases the need for description completeness, which is not met.

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 input schema covers both parameters (environmentId, projectId) with descriptions, achieving 100% schema coverage. The description does not add any meaning beyond the schema, so it meets the baseline score of 3 as per the rubric.

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 'Pull all images for a Docker Compose project' clearly indicates the action (pull) and the resource (images for a project), distinguishing it from the sibling tool 'image_pull' which operates on a single image. However, it does not explicitly contrast with siblings like 'project_build' or 'project_up', leaving some ambiguity.

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?

No guidance is provided on when to use this tool versus alternatives such as 'image_pull' for single images or 'project_up' which also pulls images. The description lacks context on prerequisite states (e.g., whether the project must be defined in the environment) or post-conditions.

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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