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PostgreSQL MCP Server

by foxter-io

List PostgreSQL Indexes

pg_list_indexes
Read-onlyIdempotent

List indexes in a PostgreSQL schema, optionally filtering by table. Get index name, type, uniqueness, size, and definition in JSON or Markdown format.

Instructions

List indexes in a schema, optionally filtered to a specific table.

Args:

  • schema: Schema name (default: public)

  • table: Filter to a specific table (optional)

  • response_format: Output format

Returns: JSON: { indexes: IndexInfo[], count: number } Markdown: formatted table with name, table, type, uniqueness, size, definition

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
schemaNoPostgreSQL schema name (default: public)public
tableNoFilter to this table only (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 declare readOnlyHint=true, destructiveHint=false, idempotentHint=true. The description adds value by detailing the return formats (JSON and Markdown) and structure, which goes beyond what annotations provide. No contradictions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with separate Args and Returns sections, but it is slightly redundant with the schema. Every sentence serves a purpose, and it is front-loaded with the main action.

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 full schema coverage, annotations, and clear purpose, the description is complete. It explains return formats and structure, which compensates for the lack of an output schema. Edge cases like empty results are not covered but are not critical for a list tool.

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 descriptions for all three parameters. The description's Args section largely repeats schema info, adding little new meaning. Baseline of 3 is appropriate since the schema already does the heavy lifting.

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's function: 'List indexes in a schema, optionally filtered to a specific table.' The verb 'List' combined with the resource 'indexes' and optional table filter makes it distinctive from sibling tools like pg_describe_table or pg_index_usage.

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 provides clear context for when to use (listing indexes, optionally filtered). It doesn't explicitly state when not to use or alternatives, but the context of sibling tools and the straightforward purpose imply proper usage.

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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