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og-mcp

Microsoft Fabric MCP Server

by og-mcp

fabric_create_notebook

Creates a Fabric notebook. Optionally populates cells with code or markdown and attaches a default lakehouse to resolve table names.

Instructions

Create a notebook. Optionally populate cells at creation and attach a default lakehouse.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
displayNameYesNotebook name
descriptionNo
cellsNoNotebook cells (code/markdown)
defaultLakehouseNoAttach a default lakehouse so unqualified spark.sql() table names resolve
workspaceNoWorkspace ID (defaults to FABRIC_DEFAULT_WORKSPACE)
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses the core behavior (create notebook, optional cells and lakehouse) but lacks details on side effects, permissions, error handling, or idempotency.

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 sentence with no wasted words, efficiently conveying 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 no output schema and no annotations, the description is adequate but missing details like return value, sync/async behavior, or prerequisites. It covers the main features but could be more comprehensive.

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?

Schema coverage is high (80%), so baseline is 3. The description adds value by explaining the optional nature of cells and default lakehouse, clarifying their purpose beyond 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 it creates a notebook and mentions optional population with cells and attachment of a lakehouse, distinguishing it from sibling tools like fabric_run_notebook or fabric_update_notebook_definition.

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 implies usage for creating a new notebook but does not provide explicit guidance on when to use it versus alternatives 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.

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