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MCPg - Production-grade PostgreSQL MCP Server

PG search parse query

pg_search_parse_query
Read-only

Parse a query string to verify its canonical form and confirm parser interpretation. Use with lenient or conjunction mode for relaxed syntax or AND-join behavior.

Instructions

Parse a query string through pdb.parse and return its canonical text form for debugging — useful for confirming the parser interpreted a phrase as expected. lenient=True relaxes syntax checking; conjunction_mode=True treats space-separated terms as AND-joined rather than OR-joined. Requires the pg_search extension.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
lenientNo
databaseNoOptional: target a configured secondary (read-only) database by name; omit for the primary. Call list_databases to see the configured ids.
query_stringYes
conjunction_modeNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
parsedYes
Behavior4/5

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

Annotations already declare readOnlyHint=true. The description adds details about lenient and conjunction_mode behaviors and the extension requirement, providing context beyond annotations.

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 concise with two front-loaded sentences, efficiently covering purpose, parameter behavior, and prerequisites without unnecessary detail.

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

Completeness5/5

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

Given an output schema exists, the description fully covers what an agent needs: purpose, parameter effects, and extension requirement. No major gaps remain.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With only 25% schema coverage, the description adds meaning for lenient and conjunction_mode parameters by explaining their effects. It compensates for low coverage, though database parameter is not elaborated.

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 verb 'parse' and resource 'query string', and explains its purpose for debugging. It differentiates from sibling search tools like pg_search_run by emphasizing parsing over execution.

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 explains the tool is useful for confirming parser interpretation and mentions the dependency on pg_search extension. It does not explicitly list when not to use or alternatives, but the context 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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