Skip to main content
Glama
devopam

MCPg - Production-grade PostgreSQL MCP Server

Get TurboQuant last scan stats

get_turboquant_last_scan_stats
Read-only

Get statistics from the last turboquant scan in PostgreSQL, including score mode, SIMD kernel, pages scanned, and pages pruned. Returns null if no scan has occurred.

Instructions

Return the backend-local JSON tq_last_scan_stats() reports for the most recent turboquant scan: score_mode, simd_kernel, pages_scanned, pages_pruned, plus the raw payload. Returns null when the extension is absent or no turboquant scan has run on this connection yet.

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 provide readOnlyHint=true, and the description adds valuable behavioral context: returns null when extension absent or no scan has run, and lists specific fields returned. No contradictions.

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 sentences: first states purpose and lists fields, second covers edge case (null). Front-loaded with essential information, no extraneous words.

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 (one optional param, output schema exists), the description covers purpose, edge cases, and field listing comprehensively.

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 description coverage is 100% with detailed parameter description. The tool's description does not add extra parameter semantics beyond what the schema already provides, so 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 returns the backend-local JSON report of the most recent turboquant scan, listing specific fields (score_mode, simd_kernel, etc.), and distinguishes it from siblings by specifying 'last scan stats' versus other turboquant analysis tools like get_turboquant_heap_stats.

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?

Description implies usage for retrieving last scan stats and notes conditions when null is returned, but does not explicitly state when to use this vs other turboquant tools or provide alternative guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/devopam/MCPg'

If you have feedback or need assistance with the MCP directory API, please join our Discord server