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create_dockerimage_application

Create a new application from a Docker image by specifying the image name, ports to expose, and deployment environment on Coolify.

Instructions

Create a new application from a Docker image

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_uuidYesProject UUID
environment_nameYesEnvironment name
environment_uuidNoEnvironment UUID (optional)
server_uuidYesServer UUID
destination_uuidNoDestination UUID (optional if server has single destination)
docker_registry_image_nameYesDocker image name (e.g., "nginx", "nginx:latest", "nginx:1.21")
docker_registry_image_tagNoDocker image tag (optional if included in image name)
ports_exposesYesPorts to expose (e.g., "3000,8080")
nameNoApplication name (optional, auto-generated if not provided)
descriptionNoApplication description
instant_deployNoDeploy immediately after creation
Behavior2/5

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

No annotations are provided, so the description must carry the full burden of behavioral disclosure. The description only states 'Create' but does not reveal side effects (e.g., potential deployment via instant_deploy), error states, or permission requirements.

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, well-structured sentence that immediately conveys the core purpose. Every word is necessary and there is no extraneous information.

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?

Despite having 11 parameters and no output schema, the description is extremely minimal. It does not explain return values, error conditions, or how parameters like instant_deploy affect behavior. This leaves agents underinformed for a complex creation tool.

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%, so the schema already describes each parameter. The tool description adds no additional semantic information beyond 'from a Docker image', thus baseline 3 is appropriate.

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 action and resource: 'Create a new application from a Docker image'. It specifically mentions the source type (Docker image), which distinguishes it from sibling tools like create_dockercompose_application and create_dockerfile_application.

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 provides no guidance on when to use this tool versus alternatives or any prerequisites. There is no mention of required conditions (e.g., image must exist, network requirements) or when not to use it.

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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