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og-mcp

Microsoft Fabric MCP Server

by og-mcp

fabric_get_notebook_definition

Read-only

Provided a notebook ID, obtain the complete notebook definition and decoded cell source to inspect or process its content programmatically.

Instructions

Fetch a notebook's definition and decoded cell source (long-running).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
notebookIdYesNotebook ID
workspaceNoWorkspace ID (defaults to FABRIC_DEFAULT_WORKSPACE)
Behavior4/5

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

Annotations already indicate readOnlyHint=true, so the agent knows this is safe. The description adds the behavioral trait 'long-running', which is valuable beyond annotations. It does not detail authentication or rate limits, but the annotation covers safety.

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 concise sentence that is front-loaded with key information. No extraneous words; every part adds value.

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?

No output schema exists, so the description bears the burden of explaining return values. It mentions 'definition and decoded cell source' but lacks detail on structure or size. 'Long-running' provides context, but overall completeness is adequate but not thorough.

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 coverage is 100% (both parameters have descriptions in the schema). The description adds no additional parameter semantics beyond what the schema already provides, so baseline 3 applies.

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 ('Fetch a notebook's definition and decoded cell source') and the resource ('notebook definition'). It distinguishes from sibling tools like fabric_get_notebook (which likely retrieves metadata only) by specifying 'decoded cell source'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for fetching detailed notebook content, including decoded cell source. The '(long-running)' annotation provides a key caveat about expected execution time, aiding agent decision-making. However, it does not explicitly contrast with alternatives like fabric_get_notebook or fabric_get_item_definition.

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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