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Docker Image Pull

docker_image_pull

Pull a Docker image onto an fnOS NAS by providing an image reference and optional host, port, scheme, or session profile.

Instructions

拉取 Docker 镜像(写操作)。

Input Schema

NameRequiredDescriptionDefault
hostNoNAS 主机地址(IP 或域名)
portNoNAS 端口,如 5667(HTTPS)/5666(HTTP)/443
schemeNo传输协议
profileNo独立 session profile 名称,默认使用 default
image_refYes镜像引用,如 nginx:latest

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.4.2

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations provided, the description carries the full behavioral burden, and it only discloses the single fact that this is a write operation. It says nothing about network/registry requirements, authentication, whether an existing image is overwritten, blocking duration, or failure behavior for a potentially slow, networked mutation.

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 short sentence with zero filler and the core action front-loaded. It is efficient, though its brevity borders on under-specification rather than optimal conciseness.

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?

An output schema exists, so return values need not be explained, but for a five-parameter mutation with zero annotation coverage the description is far too thin. An agent gets no signal about side effects, prerequisites, or how this differs from the other docker_image tools in the list.

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% and every parameter (host, port, scheme, profile, image_ref) is documented in the schema itself, including the image reference format example 'nginx:latest'. The description adds no parameter meaning beyond that, so the baseline 3 applies.

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?

Names a specific verb+resource combination ('拉取 Docker 镜像') that is unambiguous next to siblings like docker_images, docker_image_rm, and docker_image_inspect. It does not, however, explicitly differentiate itself from those siblings or state what gets pulled from where (registry vs local).

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 guidance on when to use this tool versus docker_images (list), docker_image_inspect (inspect), or docker_image_rm (remove). The parenthetical '(写操作)' hints at context but does not constitute usage guidance or exclusions.

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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