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foxter-io

PostgreSQL MCP Server

by foxter-io

List Table Partitions

pg_list_partitions
Read-onlyIdempotent

List partitioned tables and their child partitions with bounds, size, and row estimates. Filter results by schema or specific parent table.

Instructions

List all partitioned tables and their child partitions with bounds, size, and row estimates.

Args:

  • schema: Filter to a specific schema (optional)

  • parent_table: Filter to a specific partitioned table (optional)

  • response_format: Output format

Returns: JSON: { partitions: PartitionInfo[], parent_tables: string[] } Markdown: grouped by parent table, showing each partition's bounds and size

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
schemaNoFilter to schema (optional)
parent_tableNoFilter to a specific partitioned table (optional)
response_formatNoOutput format: 'markdown' for human-readable, 'json' for machine-readablemarkdown
Behavior4/5

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

Annotations already provide readOnlyHint, destructiveHint, idempotentHint. The description adds value by detailing what the tool returns (bounds, size, row estimates) and the output formats, but does not disclose additional behavioral traits beyond those 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 (two short paragraphs), front-loaded with the main action, and efficiently lists Args and Returns without extraneous text. Every sentence serves a purpose.

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?

For a read-only listing tool with no output schema, the description explains the output structure (JSON and Markdown). All parameters are documented. Minor gaps: no mention of behavior when no partitions or invalid filters, but generally complete for its simplicity.

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%, so baseline is 3. The description repeats parameter purposes and adds default for response_format, but does not significantly enhance understanding beyond what the schema already provides.

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 starts with a specific verb ('List all partitioned tables and their child partitions') and clearly states the resource and attributes (bounds, size, row estimates). It distinguishes itself from all sibling pg_list_* tools, as none list partitions.

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?

The description implies usage for partition listing but does not explicitly state when to use vs alternatives, nor does it provide when-not or exclusion criteria. Usage is clear from context but not explicitly guided.

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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