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it-romanov

Postgres MCP Pro

by it-romanov

get_top_queries

Identify slowest or most resource-intensive queries in PostgreSQL using pg_stat_statements, with options to sort by total time, mean time, or resource usage.

Instructions

Reports the slowest or most resource-intensive queries using data from the 'pg_stat_statements' extension.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of queries to return when ranking based on mean_time or total_time
sort_byNoRanking criteria: 'total_time' for total execution time or 'mean_time' for mean execution time per call, or 'resources' for resource-intensive queriesresources
Behavior3/5

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

With no annotations, the description must disclose behavioral traits. It mentions reliance on the pg_stat_statements extension, which is a key dependency, but does not state whether the operation is read-only, requires special permissions, or has side effects. The term 'reports' implies read, but more detail would improve transparency.

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 a single sentence that conveys the core purpose without redundancy. It is appropriately concise and front-loaded, wasting no words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, the description should explain what the tool returns (e.g., list of queries with metrics). It omits this, leaving the agent uncertain about output format. It also does not clarify what 'resource-intensive' means (e.g., which metrics). The description is insufficient for a tool with 2 parameters and no output schema.

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%, so the baseline is 3. The tool description does not add any information about parameters beyond what the schema already provides. The schema itself is clear, but the description misses the opportunity to explain how limit and sort_by interact or give examples.

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 reports slowest or most resource-intensive queries using pg_stat_statements, which distinguishes it from siblings like analyze_query_indexes or execute_sql. The verb 'reports' and resource 'queries' with specific scope make 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 Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus siblings. The description implies usage for top queries but does not explicitly state when not to use it or which alternative to choose (e.g., analyze_query_indexes for index analysis). The agent must infer context from the tool name alone.

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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