Skip to main content
Glama

Create Coolify Private Key

coolify_create_private_key

Generate an Ed25519 SSH key pair and store it in Coolify. Retrieve the UUID and public key to add to GitHub deploy keys or server authorized_keys.

Instructions

Generate an Ed25519 SSH key pair and store it in Coolify. Returns the UUID and public key. The public key should be added to GitHub as a deploy key (via github_add_deploy_key) or to a server's authorized_keys. The private key is stored encrypted in Coolify.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesDisplay name for the key (e.g. 'my-app-deploy')
revealNoReveal redacted secret values in the response (default false; the call is audited)
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.
descriptionNoOptional description of what this key is used for
Behavior3/5

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

Annotations already indicate mutation (readOnlyHint=false) and non-idempotent behavior. The description adds that the key is Ed25519 and stored encrypted, but does not disclose additional traits such as overwrite behavior or rate limits.

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?

Three sentences, front-loaded with main action, no redundant words. Highly efficient and well-structured.

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?

The description explains the return value (UUID and public key) and typical next steps, which is good given no output schema. It covers the core workflow, though it omits prerequisites or error scenarios.

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 baseline is 3. The description does not add meaning beyond the schema for any parameters.

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 (generate an Ed25519 SSH key pair, store in Coolify) and the resource (private key). It distinguishes from sibling tools like coolify_list_private_keys and coolify_delete_private_key.

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 provides context: the public key should be added to GitHub as a deploy key or to a server's authorized_keys, indicating when to use this tool before those steps. However, it does not explicitly exclude alternatives like coolify_create_application_deploykey.

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/AlobarQuest/infraops-mcp-server'

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