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foxter-io

PostgreSQL MCP Server

by foxter-io

List PostgreSQL Databases

pg_list_databases
Read-onlyIdempotent

List all non-template databases on a PostgreSQL server, returning details like name, encoding, collation, size, and connection limit.

Instructions

List all non-template databases accessible on the connected PostgreSQL server.

Returns database name, encoding, collation, size, and connection limit.

Returns: JSON: { databases: DatabaseInfo[], count: number } Markdown: formatted table

Errors:

  • "Cannot connect" if DATABASE_URL/PG_* env vars are wrong

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
response_formatNoOutput format: 'markdown' for human-readable, 'json' for machine-readablemarkdown
Behavior4/5

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

Annotations already declare readOnlyHint, destructiveHint, idempotentHint. The description adds return fields (name, encoding, collation, size, connection limit), output formats (JSON/Markdown), and error conditions, which provides additional behavioral context beyond annotations.

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?

The description is brief, structured with sections for returns and errors, and contains no unnecessary words. Every sentence adds value.

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?

With no output schema, the description fully explains return values and errors. For a simple tool with one optional parameter, it covers all necessary information for an agent to use it correctly.

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?

Schema coverage is 100% with one parameter (response_format). The description explains the effect of the parameter by detailing the return formats (JSON vs Markdown table), adding meaning beyond the enum values.

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 the specific action 'List all non-template databases accessible on the connected PostgreSQL server', distinguishing it from sibling tools that list other objects (tables, schemas, roles, etc.).

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?

The description implies usage for listing databases, and no sibling tool provides this exact functionality, so the context is clear. However, it doesn't explicitly state when not to use it or mention alternatives.

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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