List Coolify servers
coolify_serversRetrieve a list of servers linked to your Coolify instance for management and monitoring.
Instructions
List servers connected to your Coolify instance.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
coolify_serversRetrieve a list of servers linked to your Coolify instance for management and monitoring.
List servers connected to your Coolify instance.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It only states the basic operation but does not disclose any behavioral traits such as whether authentication is needed, performance implications, or what happens if no servers exist.
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. It is concise, but given the simplicity, it could be slightly more informative without losing conciseness.
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 simple list tool with no parameters, the description is adequate but lacks details about the return format. Since there is no output schema, the agent must infer the structure. 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 and schema coverage is 100% (since there are none). Per guidelines, 0 params gets a baseline of 4. The description adds no extraneous information.
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 clearly states the action ('List') and the resource ('servers connected to your Coolify instance'), making the purpose unambiguous. However, it does not differentiate from sibling tools like coolify_apps, but the name itself is specific enough.
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?
No guidance is provided on when to use this tool vs. alternatives. There is no mention of prerequisites or when it would not be appropriate.
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/haydary1986/fleet-mcp'
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