list_projects
Retrieve a list of all projects in your Coolify instance to view and manage your deployed resources.
Instructions
List all projects in Coolify
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve a list of all projects in your Coolify instance to view and manage your deployed resources.
List all projects in Coolify
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
v1.0.6Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the burden of conveying that this is a read-only enumeration operation. It does convey that clearly, but it offers no details about return format, ordering, authentication, or potential pagination, which would add useful context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence with no filler. Every word contributes to understanding the tool's purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a parameterless list tool with no output schema, the description is nearly sufficient: it tells the agent what resource is returned and that all instances are included. Some detail about the shape of a project object or response would improve completeness, but the complexity is low enough that this is a minor gap.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, so the empty schema is fully sufficient. The description needs to add no parameter-level meaning; this matches the baseline of 4 for parameterless tools.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description says exactly what the tool does: 'List all projects in Coolify'. The verb is specific, the resource is clear, and the object type distinguishes it from sibling tools like list_applications, list_databases, and list_servers.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The intended use is implied by the name and description—use this tool when you need a full list of projects—but there is no explicit guidance about when to prefer it over alternatives, nor any exclusions. For a zero-parameter list tool this is acceptable but not exemplary.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/JoshuaRileyDev/coolify-mcp-server'
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