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db-access-mcp

db-access-mcp

by Rheopyrin
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

connection_list

List configured database connections (PostgreSQL, MySQL, Redshift) and return key, type, read-only flag, and metadata for executing queries with other tools.

Instructions

List configured database connections (postgres, mysql, redshift). Returns key, type, description, read_only flag, host/port/database and metadata. Credentials are never included. Use the returned key with the query, query_plan and up_tunnel tools.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "connection_list"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.5/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description carries full burden. It discloses that credentials are never included, which is critical behavioral context. Lacks details on rate limits or ordering, but adequate for a listing tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, no waste. Front-loaded with purpose, followed by return details and usage guidance.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, description explains return shape sufficiently (fields and omission of credentials). Also advises on using the key with related tools. Complete for a listing tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

No parameters, schema coverage 100%. Baseline 4. Description adds meaning beyond schema by explaining what the tool returns and its usage context.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it lists configured database connections, specifies supported types (postgres, mysql, redshift), and enumerates returned fields (key, type, description, read_only, host/port/database, metadata). It distinguishes itself from sibling tools like connection_find and connection_test.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It explicitly states when to use the tool ('List configured database connections') and how to use the output (key with query, query_plan, up_tunnel). Does not mention when not to use, but context from siblings implies alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Deploy Server

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