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mort-lab

Excel MCP Server

by mort-lab

write_formula

Writes an Excel formula to a specified cell in a workbook. Accepts file path, sheet name, cell reference, and formula string.

Instructions

Write a formula to a cell.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workbook_pathYesPath to the Excel workbook
sheet_nameYesName of the worksheet
cellYesCell reference (e.g., 'A1')
formulaYesExcel formula (e.g., '=SUM(A1:A10)', '=B2*C2')

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries full burden for behavioral transparency. It only states the action without disclosing side effects (e.g., overwriting existing cell content, formula validation, or error behavior).

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, clear sentence with no redundant words. It is appropriately front-loaded and concise.

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?

Despite having an output schema, the tool is a mutation that writes to a file, which typically requires more context (e.g., formula validation, overwrite behavior, or permission needs). The description lacks completeness for a tool with 4 required parameters.

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 description coverage is 100%, and the description does not add any additional meaning beyond what the schema already provides for each parameter. Baseline of 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 'Write a formula to a cell' clearly identifies the action (write, with a specific resource 'formula to a cell') and distinguishes this tool from siblings like write_cell (for values) and write_range (for multiple cells).

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?

The description provides no guidance on when to use this tool versus alternatives (e.g., write_cell for formulas? Actually write_cell might also write formulas? But it says formula explicitly). No context on when to use or not 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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