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foxter-io

PostgreSQL MCP Server

by foxter-io

List Functions and Procedures

pg_list_functions
Read-onlyIdempotent

List all user-defined functions, procedures, aggregates, and window functions in a PostgreSQL schema. Choose JSON or Markdown output format.

Instructions

List all user-defined functions, procedures, aggregates, and window functions in a schema.

Args:

  • schema: Schema name (default: public)

  • response_format: Output format

Returns: JSON: { functions: FunctionInfo[], count: number, schema: string } Markdown: formatted table with name, type, return type, arguments, language

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
schemaNoPostgreSQL schema name (default: public)public
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 indicate read-only, non-destructive, idempotent behavior. The description adds context about return formats (JSON or Markdown) and the specific types of functions listed, which goes beyond annotations without contradiction.

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

Conciseness4/5

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

The description is concise and front-loaded with the main purpose. It includes structured 'Args:' and 'Returns:' sections, which is helpful but slightly redundant with the schema. No wasted sentences.

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, the description fully specifies the return structure for both JSON and Markdown formats. It also covers the default schema, making the tool's behavior completely understandable.

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?

Both parameters are well-documented in the input schema (100% coverage). The description restates them with defaults and return format options, adding minimal additional meaning beyond what the schema provides.

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 user-defined functions, procedures, aggregates, and window functions in a schema. This is specific and distinguishes it from other pg_list_* tools like pg_list_tables, pg_list_triggers, etc.

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 implies usage for listing functions in a schema but does not explicitly provide when-to-use or alternatives. Context from sibling tools helps, but no direct guidance is given.

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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