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MCPg - Production-grade PostgreSQL MCP Server

Read autovacuum priority

read_autovacuum_priority
Read-only

Rank tables by urgency for autovacuum using dead-tuple count vs threshold. Each row shows priority (overdue/watchlist/borderline) and key inputs to explain why.

Instructions

Return the tables most urgently needing autovacuum, ranked by how close their dead-tuple count is to the per-table autovacuum threshold (autovacuum_vacuum_threshold + autovacuum_vacuum_scale_factor * reltuples, honouring per-table reloptions overrides). Each row carries priority ('overdue' if past the threshold, 'watchlist' if within 50%, 'borderline' otherwise) plus the inputs (n_dead_tup, vacuum_threshold, last_autovacuum, autovacuum_enabled) so the agent can explain why a table landed on the shortlist. Top-level overdue_count lets an agent branch without walking the list. Read-only catalog query.

Example: read_autovacuum_priority(limit=25)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
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
detailYes
availableYes
overdue_countYes
watchlist_countYes
Behavior4/5

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

Description adds significant detail beyond annotations: explains priority logic, output fields, and top-level overdue_count. Aligns with readOnlyHint. 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.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Single concise paragraph with front-loaded purpose and example. Efficiently covers purpose, logic, output, and usage example. Could be slightly more structured but no unnecessary words.

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?

With output schema present, description need not detail return format but still explains output fields and priority categories. Covers ranking logic and top-level aggregate. Lacks mention of error cases or pagination but adequate for the 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 50% (only database described). Description compensates for limit by showing example usage, implying it limits rows. Database parameter details are not enhanced beyond schema. Partial compensation.

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?

Description explicitly states verb 'return' and resource 'tables most urgently needing autovacuum' with ranking method. Distinguishes from siblings by focusing on autovacuum priority rather than generic table listing.

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 use for identifying urgent autovacuum candidates but does not explicitly state when to use vs alternatives (e.g., list_tables) or when not to use. Lacks direct usage guidance.

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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