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MCPg - Production-grade PostgreSQL MCP Server

List TurboQuant indexes

list_turboquant_indexes
Read-only

Lists all pg_turboquant ANN indexes in the database, returning metadata such as algorithm version, quantizer family, delta state, and maintenance recommendations.

Instructions

List every pg_turboquant ANN index in the database along with the metadata payload that tq_index_metadata() reports for it: algorithm_version, quantizer_family, residual_sketch_kind, fast_path_eligible, capability_flags, delta_state, and maintenance_recommended. Returns an empty list when the pg_turboquant extension is not installed.

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 mark it as read-only, but the description adds value by specifying that an empty list is returned when the extension is not installed, and enumerates the exact metadata fields.

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 concise sentences, front-loaded with the action, no redundancy. Every sentence 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?

The description is thorough given the presence of annotations and output schema; it explains the return format and edge case (extension not installed), though an example could further improve completeness.

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 100% for the single optional parameter; the description adds minimal extra context ('omit for the primary'), but baseline 3 is appropriate.

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 the tool lists every pg_turboquant ANN index with specific metadata fields, distinguishing it from general list_indexes and get_turboquant_index_metadata.

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 provides clear context for the tool's purpose but does not explicitly guide when to use it versus alternatives like list_indexes or get_turboquant_index_metadata.

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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