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@yawlabs/postgres-mcp

by YawLabs

pg_list_functions

Read-onlyIdempotent

Retrieve a detailed list of functions, procedures, and aggregates in any PostgreSQL schema, including arguments, return types, kind, and language.

Instructions

List functions, procedures, and aggregates in a schema. Returns name, arguments, return type, kind (function/procedure/aggregate/window), and implementation language.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
schemaNoSchema name (defaults to 'public').public
Behavior3/5

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

Annotations already declare the tool as read-only, idempotent, and non-destructive. The description adds the specifics of the returned fields but does not disclose any behavioral traits beyond that, such as performance or permission requirements.

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 a single, well-structured sentence that lists the key information efficiently without unnecessary words. Every phrase adds value.

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?

Given the tool's simplicity (one parameter, no output schema) and robust annotations, the description adequately covers purpose, scope, and return values. It lacks mention of potential limitations like pagination or ordering but is sufficient for a list tool.

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?

With 100% schema description coverage, the schema already documents the 'schema' parameter. The description merely echoes that the tool lists items 'in a schema,' adding no meaningful extra 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 uses a specific verb 'List' and identifies the resource as 'functions, procedures, and aggregates' and details the returned fields, clearly distinguishing it from sibling tools like pg_list_tables and pg_list_views.

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/procedures but does not explicitly state when to use this tool versus alternatives or mention any exclusions or prerequisites.

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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