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gabriel-herencia

postgres-mcp

list_constraints

Retrieve all constraints on a PostgreSQL table, including primary key, unique, foreign key, check, and exclusion constraints, with their full definitions.

Instructions

All constraints on a table (primary key, unique, foreign key, check, exclusion) with their full definitions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tableYes
schemaNopublic

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations, the description carries the full burden. It states the tool returns 'all constraints' and 'their full definitions,' which is accurate but lacks details on permissions, performance implications, or side effects. The mention of constraint types adds some value, but behavioral context is minimal.

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 a single, front-loaded sentence of 16 words. It efficiently conveys the tool's purpose and scope with no wasted words.

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

Completeness3/5

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

Given the tool's simplicity, the description covers the basic purpose but omits usage context and parameter details. The output schema exists, reducing the need to describe return values, but the lack of guidance on when to use the tool and the missing schema parameter explanation make it only partially complete.

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

Parameters2/5

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

Schema description coverage is 0%, yet the description does not explain the parameters. It implies the 'table' parameter by saying 'on a table,' but the 'schema' parameter (with a default) is not mentioned. The description adds little beyond parameter names from the schema.

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 explicitly states the tool lists all constraints on a table, enumerating the constraint types (primary key, unique, foreign key, check, exclusion) and specifying that full definitions are included. This clearly distinguishes it from sibling tools like list_indexes or list_triggers.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites, context, or when not to use it. For a tool with many siblings, this is a significant gap.

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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