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MCPg - Production-grade PostgreSQL MCP Server

List constraints

list_constraints
Read-only

Retrieve a table's constraints — primary/foreign keys, unique, check, exclusion — with name, type, and SQL definition.

Instructions

List a table's constraints — primary/foreign keys, unique, check, exclusion. Returns a list of objects with name, type, and definition (the constraint SQL).

Example: list_constraints(schema='public', table='orders')

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tableYes
schemaYes
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
resultYes
Behavior4/5

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

Annotations set readOnlyHint=true, confirming no side effects. Description additionally clarifies return structure (list of objects with name, type, definition), adding value 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?

Extremely concise: two sentences plus an example. Every sentence is functional, no redundancy.

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?

Despite a low schema coverage, the description covers the tool's purpose and output structure. Lacks edge cases (e.g., empty results) but is complete for a simple list operation given the output schema exists.

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 33% (only database described). The description adds meaning via the example showing schema and table usage, but does not explain valid values or constraints for the two required parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states the verb 'List' and resource 'a table's constraints', specifying types (primary/foreign keys, unique, check, exclusion). Distinguishes from siblings like list_foreign_keys by being a general list, but does not explicitly differentiate.

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?

Provides a usage example that implies the two required parameters but does not explicitly state when to use this vs. more specific constraint tools (e.g., list_foreign_keys) or mention prerequisites like table existence.

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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