list_servers
Lists all configured SSH servers and active connections, providing a clear view of your remote infrastructure.
Instructions
List all configured servers and active connections
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Lists all configured SSH servers and active connections, providing a clear view of your remote infrastructure.
List all configured servers and active connections
| 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 burden. The verb 'List' implies a read-only operation, and the mention of 'active connections' adds behavioral context about the output scope. However, it doesn't explicitly state side-effect freedom or whether it reflects real-time connection state.
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 sentence that immediately states the operation and target, with no filler words.
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 tool with zero parameters and no output schema, this description is fully sufficient to understand what the tool does. It covers the core functionality and distinguishes the scope.
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 100% schema coverage (empty schema), so there's nothing for the description to add. Baseline 4 applies.
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 uses the specific verb 'List' and clearly identifies the resource: 'configured servers and active connections.' This distinguishes it from sibling tools like get_server (single server) and list_proxies (proxies).
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 description clearly states what the tool does but doesn't explicitly mention when to choose it over alternatives like get_server or list_proxies. Given the context, it's clear this is for enumerating all servers, so the usage context is implied rather than exclusionary.
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/NikolaNddTesla/ssh-mcp-server'
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