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MCPg - Production-grade PostgreSQL MCP Server

Analyze lock hotspots

analyze_lock_hotspots
Read-only

Rank PostgreSQL lock wait events by dominance and identify root causes—contention, high wait time, or high wait count—without modifying state.

Instructions

Rank PG 19 pg_stat_lock rows by wait dominance and surface stable reason codes. Read-only — never modifies state. Pair with find_blocking_chains for the active culprits on a specific hot lock_type. Returns an object with available (bool), server_version_num, detail, and hotspots — a list of objects with lock_type, waits, wait_time_us, reason (one of contention_dominant / high_wait_time / high_wait_count / low_contention), and suggested_followup (a human-readable next-step string).

Example: analyze_lock_hotspots()

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
detailYes
hotspotsYes
availableYes
server_version_numYes
Behavior4/5

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

Annotations already indicate read-only and open-world false. The description confirms read-only behavior and details the return structure, adding transparency about output shape and that it never modifies state.

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?

The description is concise, front-loading the main action and read-only nature, followed by pairing advice and return type details. It is well-structured without 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?

Given the tool's simplicity, the description covers purpose, usage, output, and example. It compensates for any missing output schema by detailing the return object. Completeness is high.

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 a clear description of the single optional parameter. The description does not add significant beyond the schema; 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 analyzes lock hotspots by ranking pg_stat_lock rows with wait dominance and stable reason codes. It distinguishes from siblings like read_pg_stat_lock and pairs with find_blocking_chains for specific active lock types.

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 provides explicit pairing advice with find_blocking_chains for specific hot lock types, guiding when to use this tool. It does not list exhaustive conditions for alternatives but gives useful context.

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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