list_credentials
Retrieve all stored SSH credentials on the SSH MCP Server to manage and access secure remote connections effectively.
Instructions
List all stored SSH credentials
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve all stored SSH credentials on the SSH MCP Server to manage and access secure remote connections effectively.
List all stored SSH credentials
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden for behavioral disclosure. It states what the tool does but doesn't describe how it behaves: no information about return format (e.g., list structure, credential details), pagination, error conditions, or authentication requirements. This is a significant gap for a tool that accesses sensitive data.
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, efficient sentence with zero waste. It's front-loaded with the core action and resource, making it easy to parse. Every word earns its place without redundancy or unnecessary elaboration.
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?
Given the complexity of listing credentials (sensitive data access) with no annotations and no output schema, the description is incomplete. It doesn't explain what information is returned (e.g., credential IDs, types, metadata), security implications, or how to handle the results, leaving critical gaps for the agent.
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 0 parameters with 100% schema description coverage, so the schema already fully documents the input. The description appropriately doesn't add parameter details, and the baseline for 0 parameters is 4. It could be 5 if it explicitly stated 'no parameters required' but this is minor.
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 verb ('List') and resource ('all stored SSH credentials'), making the purpose immediately understandable. However, it doesn't differentiate from potential sibling tools like 'get_credentials' or 'search_credentials' if they existed, which prevents a perfect score.
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 provides no guidance on when to use this tool versus alternatives like 'add_credential' or 'remove_credential'. It doesn't mention prerequisites, context, or exclusions, leaving the agent to infer usage from the tool name alone.
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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curl -X GET 'https://glama.ai/api/mcp/v1/servers/KinoThe-Kafkaesque/ssh-mcp-server'
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