List Adapters
list_adaptersLists registered database adapters to identify available database types for connection.
Instructions
List all registered database adapters
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_adaptersLists registered database adapters to identify available database types for connection.
List all registered database adapters
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and destructiveHint=false, so the description adds minimal behavioral context beyond the fact that it lists adapters. It does not contradict annotations.
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 clear sentence with no wasted words, front-loading the essential information efficiently.
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 parameterless tool, the description is adequate but lacks detail on what the output contains (e.g., adapter names, configurations). Absence of output schema increases the need for such detail.
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?
With no parameters and 100% schema coverage, the description adds no additional parameter information, meeting the baseline expectation.
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 'List all registered database adapters' uses a specific verb ('List') and resource ('registered database adapters'), clearly distinguishing it from sibling tools like server_health and server_info which cover different aspects.
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 implies when to use the tool (to see registered adapters) but provides no explicit guidance on when not to use it or alternatives, which is acceptable given the distinct sibling tools.
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/neverinfamous/db-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server