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MCPg - Production-grade PostgreSQL MCP Server

Read PG stat IO

read_pg_stat_io
Read-only

Reads cumulative I/O statistics per backend, object, and context to identify buffer-cache misses and write amplification. Returns empty list on PostgreSQL 14/15 where the view is unavailable.

Instructions

Read the pg_stat_io view (PostgreSQL 16+). Reports per (backend_type, object, context) cumulative I/O activity — reads, writes, extends, evictions, hits, fsyncs. Useful for spotting buffer-cache misses and write amplification. On PostgreSQL 14 / 15 the view doesn't exist, so the tool returns available=false and an empty list.

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
rowsYes
availableYes
server_versionYes
Behavior4/5

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

Annotations already declare readonly and non-open-world. Description adds version-dependent behavior (empty result on unsupported versions), revealing a critical edge case beyond annotations. No contradiction.

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 front-load the core purpose and then add essential version behavior. Every sentence adds value; no redundancy or fluff.

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?

Covers the main purpose, version dependency, and counters reported. With output schema present, return format is handled. Minor gap: no mention of pagination or large result sets, but acceptable for a read 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?

Schema coverage is 100% with clear description for the single optional parameter (database). Description does not add parameter-specific meaning beyond what the schema provides, so baseline score applies.

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?

Clearly states the tool reads the pg_stat_io view (PostgreSQL 16+), reports specific cumulative I/O counters, and is a read-only operation. The verb 'read' and resource 'pg_stat_io' are specific, making the purpose unambiguous.

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?

Provides context for use (spotting buffer-cache misses, write amplification) and explicitly mentions version dependency (returns available=false on PG 14/15). Lacks direct when-not or alternative tool references, but the guidance is clear.

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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