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MCPg - Production-grade PostgreSQL MCP Server

Export query

export_query
Read-only

Run a read-only SQL query and export the results as CSV or JSON. Supports pagination with configurable row limits.

Instructions

Run a read-only SQL query and serialise its rows to CSV or JSON. Reuses the SQL-safety checks of run_select. Truncates at limit rows and flags it in the result so callers can paginate.

Example: export_query(sql='SELECT id, email FROM users', format='csv', limit=10000)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sqlYes
limitNo
formatNocsv
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
formatYes
contentYes
row_countYes
truncatedYes
Behavior3/5

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

Annotations already declare readOnlyHint=true. Description adds truncation behavior, pagination flag, and format serialization. Does not detail auth needs or error states.

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?

Three short sentences plus example. Front-loaded with purpose. No redundant information.

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?

Has output schema covering return values. Describes pagination and format. Lacks details on error handling or performance, but sufficient for most use cases.

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 has only 25% coverage (description for 'database'). The description provides an example showing format and limit usage but does not fully explain each parameter's semantics or constraints.

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 clearly states verb (run, serialise), resource (SQL query results), and output formats (CSV/JSON). Distinguishes from siblings like run_select and export_table.

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?

Mentions reuse of SQL-safety checks from run_select and pagination via limit truncation. No explicit when-not-to-use or alternative tools, but 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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