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Create Application — Private Repository (Deploy Key)

coolify_create_application_deploykey

Create an application from a private Git repository using a deploy key for authentication, requiring a pre-stored private key in Coolify and its public key on GitHub.

Instructions

Create an application from a private Git repository with a deploy key. You can deploy private repos with a deploy key. Requires a private key already stored in Coolify (via coolify_create_private_key) and the public key added to GitHub (via github_add_deploy_key).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoApplication display name
revealNoReveal redacted secret values in the response (default false; the call is audited)
domainsNoFQDN for single-container apps (not for dockercompose — use coolify_set_compose_config instead)
instanceYesREQUIRED — which Coolify instance to mutate: 'prod' (Hetzner VPS) or 'dev' (local OrbStack VM). No default: state the target explicitly so a write never lands on prod by accident.
build_packNoBuild strategynixpacks
git_branchNoGit branch to deploy (default: main)main
descriptionNoApplication description
server_uuidYesUUID of the destination server
project_uuidYesUUID of the target project
ports_exposesNoComma-separated ports to expose (default: 8000)8000
git_repositoryYesGit SSH URL (e.g. 'git@github.com:AlobarQuest/my-app.git') — must be SSH format for deploy key auth
destination_uuidYesUUID of the Docker network/destination on the server
environment_nameNoEnvironment name (default: production)production
private_key_uuidYesUUID of the Coolify private key (from coolify_create_private_key)
Behavior3/5

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

Annotations already indicate it's a write operation (readOnlyHint=false). The description adds prerequisite context but does not discuss idempotency (which is false per annotations) or failure modes. It avoids contradiction but adds minimal behavioral detail beyond annotations.

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?

Two sentences, no filler. Purpose is stated upfront, followed by prerequisite instructions. Every sentence adds value and is well-structured for quick understanding.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a creation tool with 14 parameters and no output schema, the description adequately covers core behavior and prerequisites. It does not describe return values or error handling, but the schema and context provide enough for informed use. One minor gap: missing explanation of what is returned (e.g., created app details).

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 schema covers 100% of parameters with descriptions, so baseline is 3. The tool description does not add extra parameter-level insight; it only summarizes the purpose. No additional value is provided beyond standard schema documentation.

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 ('Create an application from a private Git repository with a deploy key') and the specific mechanism (deploy key), differentiating it from siblings like coolify_create_application_public or coolify_create_application_githubapp.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly states when to use this tool (private repo with deploy key) and lists prerequisites (private key in Coolify and public key on GitHub), referencing related tools. It does not explicitly state when not to use or mention alternatives, but the context is clear.

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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