Skip to main content
Glama
sdebruyn

fabric-dw-mcp-cli

by sdebruyn

create_schema

Create a new SQL schema on a Fabric warehouse or SQL Analytics Endpoint. Provide workspace, item, and schema name.

Instructions

Create a new SQL schema on a warehouse or SQL Analytics Endpoint.

Both Fabric Data Warehouses and SQL Analytics Endpoints support CREATE SCHEMA per the Microsoft Fabric T-SQL reference.

Args: workspace: Workspace name or GUID. item: Warehouse or SQL Analytics Endpoint name or GUID. name: The schema name. Must be a valid SQL identifier.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workspaceYes
itemYes
nameYes

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. It does not disclose potential errors (e.g., schema name conflicts), permission requirements, or side effects beyond stating it creates a 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 concise, front-loaded with the main purpose, and includes an Args section. No superfluous words.

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 presence of an output schema (so return values are covered), the description covers purpose and parameters but lacks detail on error cases, prerequisites, or behavior in edge cases.

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?

Despite 0% schema description coverage, the description adds meaning for all three parameters: workspace and item as name/GUID, name as a valid SQL identifier. This compensates for the lack of schema descriptions.

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 action (create), the resource (SQL schema), and the target (warehouse or SQL Analytics Endpoint). It effectively distinguishes from sibling tools like delete_schema or list_schemas.

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 context about supported platforms and T-SQL reference, but does not explicitly specify when to use this tool versus alternatives (e.g., create_table, create_view) or when not to use it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/sdebruyn/fabric-dw-mcp-cli'

If you have feedback or need assistance with the MCP directory API, please join our Discord server