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clezcoding

awesome-coolify-mcp

by clezcoding

project

Perform CRUD operations on Coolify projects: list, get, create, update, delete, and delete previews. Includes confirmation safety for destructive actions.

Instructions

Project CRUD for Coolify organizational containers. Actions: list(format?, page?, per_page?) · get(uuid?, name?, format?, projection?, reveal?) · create(name, initial_environment?) · update(uuid?, name?) · delete(uuid?, name?, confirm) · delete_preview(uuid?, name?) Safety: confirm for destructive ops · optional instance · reveal opt-in only

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoProject name (substring match)
pageNoPage number for pagination
uuidNoProject UUID
actionYesThe action to run
formatNoOutput format (default pretty)
revealNoReveal sensitive/masked values in full projection (default false — secrets masked as ***)
confirmNoExplicit confirmation required for destructive delete
instanceNoCoolify instance name from registry (optional — uses env credentials or registry default)
new_nameNoNew project name when resolving by name only
per_pageNoItems per page
max_charsNoMax formatted output characters (default 16000)
projectionNoDetail projection depth
descriptionNoOptional project description
include_fullNoAlias for projection: full
initial_environmentNoInitial environment name (required — ask user for production vs custom per D-09/D-10)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYes
dataNo
_metaNo
errorNo
_size_warningNo
_formattedTextNo
Behavior4/5

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

Annotations only include openWorldHint: true. The description adds behavioral context: safety notes for destructive operations ('confirm'), optional instance, and reveal opt-in. It also notes that initial_environment requires user input per D-09/D-10, which is non-obvious behavior not captured by 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?

The description is concise (3 lines) and well-structured: first line states purpose, second line action signatures, third line safety/behavior notes. Every sentence earns its place with no redundancy.

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

Completeness5/5

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

Given the tool's complexity (15 parameters, 6 actions, output schema exists), the description covers all crucial aspects: action signatures, parameter semantics, safety, optional instance, reveal behavior, and output format options. It leaves no major gaps for an AI agent to understand usage.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

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. However, the description adds value by grouping parameters per action (e.g., 'create(name, initial_environment?)') and providing semantic guidance like 'ask user for production vs custom per D-09/D-10' for initial_environment, which goes beyond the schema description.

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 'Project CRUD for Coolify organizational containers' and enumerates specific actions (list, get, create, update, delete, delete_preview), making the tool's purpose distinct from siblings like 'system' or 'application'.

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

Usage Guidelines3/5

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

The description lists actions and safety notes but does not provide explicit guidance on when to use this tool versus alternatives. Usage is implied through action names and parameter hints (e.g., 'confirm for destructive ops'), but no direct comparison to siblings.

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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