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mort-lab

Excel MCP Server

by mort-lab

format_font

Apply font formatting to a range of Excel cells, including font name, size, bold, italic, underline, and color. Works without Microsoft Excel.

Instructions

Apply font formatting to a range of cells.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workbook_pathYesPath to the Excel workbook
sheet_nameYesName of the worksheet
range_refYesRange to format (e.g., 'A1:B10')
font_nameNoFont name (e.g., 'Arial', 'Calibri')
font_sizeNoFont size (8-72)
boldNoBold text
italicNoItalic text
underlineNoUnderline style ('single', 'double', or None)
colorNoHex color code (e.g., 'FF0000' for red)

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, the description must disclose behavior. It does not explain side effects (e.g., whether unset properties are left unchanged or reset), error conditions, or return values. The output schema is mentioned in context but not described in the text.

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 a single, well-formed sentence with no unnecessary words. It is appropriately front-loaded. However, it could be slightly expanded to cover key behavioral aspects without losing conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 9 parameters (3 required) and an output schema, the one-sentence description is insufficient. It omits details on return values, error conditions, and the effect of partial parameter specification, making it incomplete for a complex formatting tool.

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%, so the baseline is 3. The description adds no additional meaning beyond the schema; it does not clarify parameter interactions or defaults beyond what the schema already provides.

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 'Apply font formatting to a range of cells' uses a specific verb ('Apply') and clearly identifies the resource ('font formatting') and scope ('range of cells'). This distinguishes it from sibling tools like format_alignment and format_border.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives, such as other formatting tools or when to apply specific font properties. There are no prerequisites, exclusions, or context for optimal use.

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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