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sdebruyn

fabric-dw-mcp-cli

by sdebruyn

create_table

Create a new SQL table by executing a CTAS (CREATE TABLE AS SELECT) statement on a specified warehouse or SQL endpoint.

Instructions

Create a new SQL table via CTAS (CREATE TABLE AS SELECT).

CAUTION: select_body is executed verbatim as DDL on the warehouse. Ensure the body matches the user's intent before calling this tool. The first non-comment keyword of select_body must be SELECT.

Args: workspace: Workspace name or GUID. item: Warehouse or SQL endpoint name or GUID. qualified_name: Dot-separated qualified table name, e.g. dbo.sales. select_body: The SELECT statement that becomes the CTAS source.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workspaceYes
itemYes
qualified_nameYes
select_bodyYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided, so the description must carry full behavioral transparency. It warns that select_body is executed as DDL and must start with SELECT, but does not disclose permissions needed, side effects, or what happens if the table already exists.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise and well-structured with a purpose statement, caution, and parameter list. It is front-loaded with the main action and does not include unnecessary details.

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 complexity (CTAS table creation) and the presence of an output schema, the description covers the essential action and parameters. However, it lacks information on error handling (e.g., table already exists) and does not fully compensate for the lack of annotations.

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. It provides brief descriptions for all four parameters, including an example for qualified_name, which adds some semantic meaning beyond the parameter names, but lacks detail on workspace or item formats.

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 tool creates a new SQL table via CTAS, distinguishing it from siblings like clone_table or create_empty_table. The verb 'Create' and method 'CTAS' are specific, but it doesn't explicitly contrast with sibling tools.

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 provides a caution about DDL execution and the SELECT keyword requirement, implying when to be careful, but does not explicitly state when to use this tool versus alternatives like create_empty_table or clone_table.

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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