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MCPg - Production-grade PostgreSQL MCP Server

List active queries

list_active_queries
Read-only

Monitor currently running PostgreSQL queries, view each backend's wait event, duration, and blocking PIDs to identify performance bottlenecks.

Instructions

List the queries currently running on the server, with each backend's wait event, duration, and the PIDs blocking it. Returns a list of objects with pid, username, application, state, wait_event (null when not waiting), duration_seconds, query, and blocked_by (list of PIDs holding locks this backend is waiting on).

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 indicate readOnlyHint=true, and the description adds context by listing return fields (wait_event, duration, blocked_by) and noting that wait_event is null when not waiting. It does not contradict annotations and provides useful behavioral details beyond the schema.

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 two sentences, immediately stating the tool's action and listing return fields. It is efficient with no redundant 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 (one optional parameter, read-only, output schema exists), the description covers purpose, return fields, and parameter usage. However, it lacks guidance on when to use it, which slightly reduces completeness.

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 for the 'database' parameter. The description does not add any additional parameter-level information beyond what the schema already provides, so baseline score of 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 lists currently running queries on the server, specifying the exact fields returned (wait event, duration, blocking PIDs). This differentiates it from sibling tools like 'list_locks' and 'read_pg_stat_lock' which focus on lock statistics rather than active queries.

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?

No explicit guidance is provided on when to use this tool versus alternatives. The description implies it is for monitoring active queries, but it does not compare with similar tools (e.g., 'read_pg_stat_lock') or specify when not to use it.

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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