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logisky

logisheets-mcp

by logisky

set_cells

Write one or multiple cell values on a sheet in a single atomic operation, supporting literals, formulas, and cell clearing, with a limit of 200 cells per call.

Instructions

Write one or more arbitrary cells on a sheet in a single atomic transaction (one undo step). Each cell is addressed by zero-based row/col. Content is a literal (string / number / boolean) or a formula prefixed with '='. null or '' clears the cell. For cells that belong to a block, prefer edit set_block_cells (it respects the schema); use this for plain, non-block cells. At most 200 cells per call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cellsYes
sheetIdxYesZero-based sheet index.
Behavior4/5

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

The description discloses key behaviors: atomicity (one undo step), clearing cells with null/empty string, and the 200-cell limit. Given annotations already show mutability (readOnlyHint=false) and non-destructive (destructiveHint=false), the added details on clearing and atomicity add value beyond annotations.

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, front-loaded with the core purpose, and each sentence serves a distinct function: purpose, addressing/content rules, usage preference, and limit. No redundancy or filler.

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

Completeness4/5

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

Given the tool's moderate complexity (2 params, array of objects) and lack of output schema, the description covers essentials: how cells are addressed, content types, clearing, block preference, and call limit. It does not mention error handling or response format, but that is less critical for a write operation. The description is complete enough for an agent to invoke correctly.

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 50% (only 'content' and 'row'/'col' descriptions are in schema; 'sheetIdx' and the array structure are not fully described). The description adds meaning about cell content types (literal vs formula) and the clearing behavior, but it doesn't explain 'sheetIdx' beyond the schema's own comment. With partial coverage, the description partially compensates but not fully.

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 clearly states the tool writes one or more cells in a single atomic transaction, with specific addressing and content types. It distinguishes itself from the sibling 'set_block_cells' by emphasizing plain, non-block cells, and notes that block cells should use the sibling tool.

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

Usage Guidelines5/5

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

It explicitly says 'For cells that belong to a block, prefer edit set_block_cells' and 'use this for plain, non-block cells,' providing clear when-to-use and when-not-to-use guidance with an alternative tool named.

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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