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set_cell_value

Update a single cell in an Excel sheet by specifying the file, sheet, cell address, and new value. Directly modify .xlsx data via MCP.

Instructions

Set the value of a single cell in a sheet.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cellYes
valueYes
file_pathYes
sheet_nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

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

  1. First observedv0.1.0

TDQS

C2.8/5.0
Behavior2/5

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

There are no annotations, so the description bears the full burden of behavioral disclosure. It only states the action and does not explain whether the cell overwrites existing content, whether a formula in the cell is replaced, whether the cell must already exist, or how value types are handled. The mutating nature is implied but not elaborated.

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 with no filler words. The action and object are front-loaded, and every word contributes to the core meaning. It is appropriately sized for a simple setter tool.

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 description lacks essential context for correct invocation: how to reference a cell, what value types are accepted, and what happens to existing cell content. For a tool with four required parameters and zero schema descriptions, this is a meaningful gap in guidance.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate for the lack of parameter documentation. The phrase 'value of a single cell' hints that 'cell' is a cell reference and 'value' is the new value, but no detail is given on cell notation (e.g., 'A1'), file_path meaning, or sheet_name scope. This is insufficient compensation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Set') and identifies the resource ('value of a single cell in a sheet'), making the primary action clear. It is implicitly distinguishable from sibling tool set_cell_formula, which sets a formula rather than a literal value, and from add_data_to_sheet, which operates on multiple cells. However, it does not explicitly name these alternatives.

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 given about when to use this tool versus alternatives. It does not mention that set_cell_formula is the appropriate tool for formulas, or that add_data_to_sheet should be used for batch writes. The description leaves all usage decisions to the agent without any contextual direction.

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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