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hluaguo

metabase-mcp

by hluaguo

list_tables

Retrieve all tables in a specified database by providing its database ID. Returns a formatted markdown table of table details.

Instructions

List all tables in a specific database.

Args: database_id: The ID of the database to query.

Returns: Formatted markdown table showing table details.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
database_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

The description discloses the return format (formatted markdown table) and specifies the required input. While read-only behavior is implied, the lack of annotations makes this acceptable for a simple list operation.

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 brief and well-structured, including purpose, args, and returns in a clean format with no unnecessary words.

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?

The description covers the core functionality, input, and output format. However, it lacks details on error handling or behavior with invalid database IDs, which would enhance completeness.

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

Parameters4/5

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

With 0% schema description coverage, the description compensates by explaining that database_id is 'the ID of the database to query', adding semantic meaning beyond the schema's type-only constraint.

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 verb 'list' and resource 'tables' scoped to a specific database, distinguishing it from sibling tools like list_databases or list_cards.

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?

No guidance on when to use this tool versus alternatives such as get_table_fields or list_databases. The description provides no exclusions or context for selection.

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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