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MCPg - Production-grade PostgreSQL MCP Server

List tables

list_tables
Read-only

Lists tables and views in a PostgreSQL schema, identifying partitioned tables and their partitions.

Instructions

List the tables and views in a schema, flagging partitioned tables and partitions. Returns a list of objects with name, type ('table' or 'view'), partitioned, is_partition.

Example: list_tables(schema='public')

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
schemaYes
databaseNoOptional: target a configured secondary (read-only) database by name; omit for the primary. Call list_databases to see the configured ids.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false. Description adds that it flags partitioned tables and returns specific fields, providing mild additional 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?

Two sentences plus an example. Front-loaded with purpose and return info. No wasted words.

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

Completeness4/5

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

Output schema exists (as per context), and description mentions return fields. For a list tool with annotations, this is sufficiently complete.

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

Parameters3/5

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

Schema coverage is 50%: the 'schema' parameter is explained via example and context, but the 'database' parameter's behavior is not elaborated in description (though schema includes description). Adds some meaning but not fully compensates for coverage.

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?

Clear verb 'List' and specific resource 'tables and views in a schema'. Returns structured objects with named fields. Distinguishes from siblings like list_views or list_partitions.

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

Usage Guidelines2/5

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

No guidance on when to use vs alternatives. Among many list tools, no context is provided for choosing this one.

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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