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get_database_schema

Read-onlyIdempotent

Retrieve table and column structures from a Metabase database to understand data organization and relationships.

Instructions

Get tables and columns for a database

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
database_idYesDatabase ID
Behavior3/5

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

Annotations already indicate read-only, idempotent, and open-world behavior, so the description doesn't need to repeat these. It adds minimal context by implying metadata retrieval, but doesn't detail response format, pagination, or error handling, offering only basic 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?

The description is a single, direct sentence with zero wasted words, making it highly concise and front-loaded. It efficiently conveys the core purpose without unnecessary elaboration, earning full marks for structure.

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 simple parameter schema and annotations covering safety traits, the description is adequate for a basic read operation. However, without an output schema, it lacks details on return values like table/column structures, leaving some gaps in completeness for effective tool use.

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?

With 100% schema description coverage, the input schema fully documents the 'database_id' parameter. The description adds no additional meaning, such as format examples or sourcing guidance, so it meets the baseline for high schema coverage without compensating further.

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?

The description clearly states the action ('Get') and resource ('tables and columns for a database'), making the tool's purpose evident. However, it doesn't differentiate from sibling tools like 'list_databases' or 'get_collections', which reduces clarity about its specific role in the toolset.

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 doesn't mention prerequisites, such as needing a database ID from 'list_databases', or specify scenarios where this is preferred over other schema-related operations, leaving usage context unclear.

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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