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Jasuni69

Microsoft Fabric MCP Server

by Jasuni69

update_notebook_cell

Update a specific cell in a notebook by providing the workspace, notebook ID, cell index, and new content. Choose code or markdown to replace the existing cell with the desired change.

Instructions

Update a specific cell in a notebook.

Args:
    workspace: Name or ID of the workspace
    notebook_id: ID or name of the notebook
    cell_index: Index of the cell to update (0-based)
    cell_content: New content for the cell
    cell_type: Type of cell ('code' or 'markdown')
    ctx: Context object containing client information
Returns:
    A string confirming the update or an error message.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cell_typeNocode
workspaceYes
cell_indexYes
notebook_idYes
cell_contentYes

Schema Changelog

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

  1. First observedv0.1.0

TDQS

A3.7/5.0
Behavior2/5

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

No annotations are provided, so the description must carry the behavioral disclosure burden. It states the operation returns a confirmation string or error, but it does not disclose that this is an in-place mutation, whether existing content is overwritten, what happens on invalid cell_index, or any permission/context requirements. For a mutating tool this is a significant gap.

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 compact and front-loaded with the core action, followed by a structured Args/Returns list. Every line serves a purpose and there is no filler or repetition of the tool name.

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 moderate-complexity tool with no annotations and no output schema, the description covers the main parameters and return type, which is enough for a basic call. However, it omits behavioral details like default cell_type handling, overwrite semantics, and error conditions, so an agent may not fully understand side effects before calling it.

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%, but the description compensates well by explaining key semantics beyond the schema: workspace/notebook_id accept name or ID, cell_index is 0-based, cell_content is the new content, and cell_type has allowed values 'code' or 'markdown'. This adds real meaning beyond the bare schema properties.

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 begins with a clear, specific statement: 'Update a specific cell in a notebook.' This identifies the verb, the resource, and the granularity (a specific cell), which distinguishes it from create/get/delete notebook tools. It is not a tautology and contains no misleading language.

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?

Usage context is implied: this tool updates an existing cell rather than creating a notebook or reading its content. However, the description provides no explicit when-to-use guidance or mention of alternatives among the many notebook-related siblings, such as get_notebook_content or create_notebook.

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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