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MCPg - Production-grade PostgreSQL MCP Server

List grants

list_grants
Read-only

List all privileges granted on a specific table, including grantee, privilege type (SELECT, INSERT, etc.), grantable flag, and grantor. Essential for auditing table permissions.

Instructions

List the privileges granted on a table — who may do what to it. Returns a list of objects with grantee, privilege (SELECT / INSERT / UPDATE / DELETE / TRUNCATE / REFERENCES / TRIGGER), grantable (bool — may the grantee regrant), and grantor.

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 already declare readOnlyHint=true, so the description's 'List' aligns. It adds behavioral context by enumerating the returned fields (grantee, privilege, grantable, grantor), which helps the agent understand the output without needing to inspect the output schema.

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 sentence front-loaded with the purpose, followed by a concise list of return fields. Every part is necessary and efficient.

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 the presence of an output schema, the description's enumeration of return fields is a bonus. However, it could briefly explain the required parameters (table, schema) to compensate for the low schema coverage, but overall it sufficiently explains the tool's behavior.

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?

The input schema has 3 parameters with only 33% description coverage (only 'database' has a description). The tool description does not mention any parameters, failing to add meaning beyond the schema for the two required parameters (table, 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 clearly specifies the action ('List the privileges granted on a table') and the resource ('a table'), distinguishing it from sibling list tools (e.g., list_indexes, list_roles) by focusing on privileges.

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 via the tool name and purpose but does not explicitly state when to use it vs alternatives, nor does it provide exclusion criteria or prerequisites.

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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