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MCPg - Production-grade PostgreSQL MCP Server

List publications

list_publications
Read-only

Retrieve logical-replication publications in a PostgreSQL database, including their tables and enabled operations (insert, update, delete, truncate). Useful for managing data replication.

Instructions

List logical-replication publications with the tables and operations they include. Returns a list of objects with name, owner, all_tables (bool), publishes_insert / publishes_update / publishes_delete / publishes_truncate (bools), and tables (list of schema.table strings).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
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
Behavior4/5

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

Annotations already declare readOnlyHint=true, and the description adds value by detailing the exact return fields (e.g., name, owner, all_tables, publishes_* booleans, tables). This provides behavioral context beyond just the safety annotation.

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 two concise sentences. The first states the action, the second enumerates the return fields. No superfluous words.

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?

For a simple read-only list tool with one optional parameter and an output schema, the description fully covers the tool's capabilities and behavior. It is complete.

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

Parameters5/5

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

The single optional parameter 'database' is explained with clear semantics: it targets a secondary read-only database, with guidance to call list_databases for id values. Schema coverage is 100%, and the description adds 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 logical-replication publications with their included tables and operations. The name and title match exactly, and the detail about return fields distinguishes it from other list tools, as none of the siblings list publications.

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

Usage Guidelines3/5

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

The description implicitly states its purpose (listing publications) but does not provide explicit guidance on when to use it vs alternatives or when not to use it. No exclusions or alternative tools are mentioned.

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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