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@yawlabs/postgres-mcp

by YawLabs

pg_list_extensions

Read-onlyIdempotent

List installed PostgreSQL extensions with name, version, schema, and description to verify required extensions before writing queries.

Instructions

List installed PostgreSQL extensions. Returns name, version, schema, and description. Useful to check for pgvector, postgis, pg_stat_statements, uuid-ossp, etc. before writing queries that rely on them.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive behavior. The description adds the specific output fields (name, version, schema, description) and the practical scenario, which enhances transparency beyond the structured 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 consists of two concise sentences, front-loaded with the core action. Every sentence adds value without redundancy or verbosity.

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 the tool's simplicity (no parameters, no nested objects, no output schema), the description fully covers what it does, what it returns, and why an agent would use it. Annotations provide safety cues. No gaps remain.

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?

The tool has zero parameters, so parameter semantics are trivially covered. With schema coverage at 100%, the baseline is 4. The description adds no parameter info, which is acceptable as none exist.

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 installed PostgreSQL extensions, specifying the verb 'list' and resource 'extensions'. It distinguishes from sibling tools like pg_list_tables and pg_list_schemas by focusing solely on extensions.

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 provides explicit usage context: 'Useful to check for pgvector, postgis, pg_stat_statements, uuid-ossp, etc. before writing queries that rely on them.' This tells the agent when to use it, though it does not explicitly state when not to use 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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