Skip to main content
Glama
hecateq
by hecateq

coolify_create_destination

Create a Docker network destination on a Coolify server by providing server UUID and network name, enforcing type match and production guards.

Instructions

Create a Docker network destination on a server. Subject to operation mode, allowlist, and production guard policies. Audit: coolify.destination.create.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoDestination name (defaults to <server-name>-<network> if omitted)
networkYesDocker network name (required by the Coolify API)
server_uuidYesServer UUID the destination will be attached to
destination_typeNoDestination type — must match the server type (standalone or swarm)
Behavior4/5

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

Beyond the annotations (readOnly=false, destructive=false), the description adds that the operation is subject to policies and creates an audit entry ('Audit: coolify.destination.create'). This gives useful behavioral context without contradicting 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 concise sentences: the first states the purpose, the second covers policies and audit. No wasted words, and the most important information is front-loaded.

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?

Given the schema covers all parameters, annotations define safety, and the description adds policy/audit context, the description is sufficient for an agent to understand the tool's role and constraints. A small gap is lack of mention about return values, but there is no output schema expected.

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 already provides 100% coverage with descriptions for every parameter. The tool description does not add additional parameter-level guidance, so the baseline of 3 applies.

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 verb and resource: 'Create a Docker network destination on a server.' This distinguishes it from sibling create tools (application, service, database, storage) and accurately describes the core function.

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 mentions that usage is 'subject to operation mode, allowlist, and production guard policies,' which provides context about constraints but does not explicitly state when to use this tool versus alternatives or when not to use it. No alternative tools are named.

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/hecateq/mcp-coolify'

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