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list_tables

Retrieve available tables from a database schema in Apache Superset to identify data sources for analysis and visualization.

Instructions

List tables in a database schema.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
database_idYes
schemaNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states it's a listing operation but doesn't mention whether it's read-only, safe, paginated, or has any rate limits. For a tool with zero annotation coverage, this leaves significant behavioral gaps unaddressed.

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, efficient sentence that states the core purpose without any wasted words. It's appropriately sized for a simple listing tool and front-loads the essential information.

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 low complexity (simple listing operation) and the existence of an output schema (which handles return values), the description is minimally complete. However, with no annotations and poor parameter documentation, it doesn't provide enough context for optimal agent understanding.

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 description coverage is 0%, so the description must compensate, but it only mentions 'database schema' which partially relates to the 'schema' parameter. It doesn't explain what 'database_id' represents or provide context for either parameter. The baseline is 3 since the description adds minimal value beyond the bare schema.

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 verb ('List') and resource ('tables in a database schema'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'list_datasets' or 'list_schemas', which also list database objects, so it doesn't reach the highest clarity level.

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 like 'list_datasets' or 'list_schemas'. It doesn't mention prerequisites, exclusions, or specific contexts where this tool is preferred over other listing tools in the server.

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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