Skip to main content
Glama
Ruashots
by Ruashots

coolify_create_application_dockerfile

Create an application from a Dockerfile by providing the file content and configuring project, server, environment, and ports to expose.

Instructions

Create an application from a Dockerfile

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoApplication name
dockerfileNoDockerfile content (base64 encoded)
git_branchNoGit branch
server_uuidYesServer UUID
project_uuidYesProject UUID
ports_exposesYesPorts to expose
git_repositoryNoGit repository URL
instant_deployNoDeploy immediately
environment_nameYesEnvironment name
Behavior2/5

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

No annotations are provided, and the description only states the function without disclosing behavioral traits such as deployment behavior, potential overwrites, required permissions, or return value. The lack of output schema further reduces transparency.

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?

The description is a single sentence with no extraneous words, making it concise. However, it could be slightly expanded to include key context without becoming verbose.

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 tool has 9 parameters, no annotations, and no output schema, the description is too sparse. It does not explain the deployment process, required fields (though schema defines them), or what happens after creation, leaving the agent underinformed.

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 has 100% coverage with descriptions for all 9 parameters. The description adds no additional meaning beyond what the schema already provides, resulting in a baseline score of 3.

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 'Create an application from a Dockerfile' uses a specific verb ('create') and resource ('application') with a clear source ('Dockerfile'). Among sibling tools like coolify_create_application_public and coolify_create_application_docker_image, this tool is uniquely identified for Dockerfile-based creation.

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, such as when a Dockerfile is available versus using a public repository or Docker image. It does not mention required parameters like project_uuid, server_uuid, environment_name, ports_exposes, or any prerequisites.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Ruashots/coolify-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server