list_credentials
Retrieve metadata of all stored credentials without exposing plaintext.
Instructions
List all stored credentials (metadata only, no plaintext).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve metadata of all stored credentials without exposing plaintext.
List all stored credentials (metadata only, no plaintext).
| 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 the full burden of behavioral disclosure. It clearly states the tool is read-only and only returns metadata, which is a positive behavioral trait. However, it omits potential details like authentication requirements or whether the list is user-specific or global.
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 wasted words. It efficiently communicates the tool's purpose and a key constraint (no plaintext).
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 tool's simplicity (no parameters, no output schema, no annotations), the description is mostly complete. It covers what the tool does and what it returns. Minor gaps like pagination or sorting are not critical for a list-all operation, but could be mentioned.
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 the schema description coverage is 100%. According to the scale, baseline is 4 for no parameters. The description does not need to add parameter semantics, and it correctly omits any param references.
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' with the resource 'stored credentials' and adds a clear qualifier 'metadata only, no plaintext', which precisely defines the scope. This implicitly distinguishes it from sibling tools like 'retrieve_credential' that likely return full credentials.
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 does not provide explicit guidance on when to use this tool versus alternatives such as 'retrieve_credential' or 'store_credential'. It only hints at the distinction through 'metadata only', but lacks direct instructions or examples.
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/codeofaxel/kiln'
If you have feedback or need assistance with the MCP directory API, please join our Discord server