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Jasuni69

Microsoft Fabric MCP Server

by Jasuni69

list_notebooks

Lists all notebooks in a Microsoft Fabric workspace, optionally filtered by workspace name or ID. Use it to see available notebooks or troubleshoot missing items.

Instructions

List all notebooks in a Fabric workspace.

Args:
    workspace: Name or ID of the workspace (optional)
    ctx: Context object containing client information
Returns:
    A string containing the list of notebooks or an error message.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workspaceNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A3.8/5.0
Behavior3/5

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

With no annotations provided, the description carries the behavioral disclosure burden. It does state the return type ('a string containing the list of notebooks or an error message'), implying a read-only operation. However, it does not describe default workspace behavior, pagination, output format, or potential failure modes beyond a generic error message.

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 front-loaded with the core purpose, followed by a compact Args/Returns breakdown. It avoids fluff, though including ctx in Args when it is not part of the exposed schema adds a small amount of unnecessary noise.

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?

For a simple list tool with one optional parameter and no output schema, the description covers the main purpose and return behavior. The main gap is that it does not explain the semantics of omitting the workspace argument—whether it falls back to the current context or scans all workspaces—which is important for an agent to invoke the tool predictably.

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 0%, so the description must compensate. It does so by explaining that workspace is a 'Name or ID' and optional, which adds meaning beyond the raw schema's string/null type and default. The mention of ctx is slightly odd since it is not in the input schema, but it is a minor issue.

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 opens with a specific verb and resource: 'List all notebooks in a Fabric workspace.' This clearly identifies the tool's function and distinguishes it from sibling tools like list_reports, list_lakehouses, and list_workspaces.

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 clear context by scoping the action to a Fabric workspace and marking the workspace argument as optional. However, it does not explicitly state when to prefer this tool over alternatives such as list_items or other list_* siblings, nor does it explain what happens when workspace is omitted.

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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