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MCPg - Production-grade PostgreSQL MCP Server

Recommend TurboQuant query knobs

recommend_turboquant_query_knobs
Read-only

Recommend per-query knob values for turboquant approximate search. Use plain or index-aware mode to optimize probes and oversampling.

Instructions

Run tq_recommended_query_knobs — per-query knob advisor. Two modes: plain (just candidate_limit + optional final_limit) gives generic recommendations; index-aware (supply both index_schema and index_name, plus optional filter_selectivity) specialises the recommendations to the named index's catalog state. Returns probes, oversample_factor, max_visited_codes, max_visited_pages — pass these to turboquant_approx_candidates / turboquant_rerank_candidates. Requires pg_turboquant.

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.
index_nameNo
final_limitNo
index_schemaNo
candidate_limitYes
filter_selectivityNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
probesYes
max_visited_codesYes
max_visited_pagesYes
oversample_factorYes
Behavior4/5

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

The description adds behavioral context beyond the readOnlyHint annotation, detailing two operation modes and the specific output parameters. It includes a prerequisite (pg_turboquant). No contradictions with 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 is concise, with two clear sentences and a bullet list. It front-loads the main purpose and efficiently conveys the two modes and output knobs.

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 adequately covers the tool's functionality, modes, and output, and references related tools. It compensates for low schema coverage by explaining the parameter groupings. However, it lacks details on parameter constraints or ranges, and the output schema is only implied but not explicitly stated (though the output schema exists).

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?

The description adds meaning to parameters by explaining the two modes and optional fields (final_limit, filter_selectivity). The database parameter is well-documented. However, it does not explain the purpose or typical values of candidate_limit and final_limit, nor what index_schema and index_name represent beyond their names. Given low schema coverage (17%), more parameter explanation would be beneficial.

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 runs tq_recommended_query_knobs as a per-query knob advisor. It distinguishes two modes (plain and index-aware) and lists the returned knobs, making the purpose specific and distinct from sibling tools like recommend_hnsw_ef_search.

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 explains when to use each mode: plain with just candidate_limit (and optional final_limit), index-aware with index_schema and index_name. It also instructs to pass returned knobs to related tools. However, it does not explicitly state when not to use this tool or provide 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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