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circuitry-dev

Circuitry MCP Server

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sheet.setCells

Update multiple spreadsheet cells efficiently with one call, supporting both static values and formulas for sparse data modifications.

Instructions

Set multiple cells in one call - efficient for sparse updates. Values starting with "=" are treated as formulas.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nodeIdYesSheet node ID or name
cellsYesArray of cell updates: [{ row: 0, col: 2, value: "text" }, { row: 5, col: 2, value: "=A6*B6" }]
Behavior3/5

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

With no annotations provided, the description carries the full burden. It discloses that values starting with '=' are treated as formulas, which is important behavioral information. However, it doesn't mention permission requirements, whether updates overwrite existing content, error handling, or response format.

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?

Two sentences with zero waste - the first establishes purpose and efficiency benefit, the second provides crucial formula handling information. Perfectly front-loaded with all essential information.

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 mutation tool with no annotations and no output schema, the description provides good basic information but lacks details about permissions, error conditions, response format, and how it differs from similar tools like sheet.setData. The formula handling note is valuable but doesn't fully compensate for missing behavioral context.

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%, so the schema already fully documents both parameters (nodeId and cells). The description adds value by explaining formula handling ('Values starting with "=" are treated as formulas'), which provides semantic context beyond the schema's structural definition.

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 specific action ('Set multiple cells'), the resource ('cells'), and the scope ('in one call - efficient for sparse updates'), distinguishing it from sibling tools like sheet.setCell (singular) and sheet.setData (bulk data setting).

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

Usage Guidelines4/5

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

The description provides clear context about when to use this tool ('efficient for sparse updates') and mentions formula handling, but doesn't explicitly state when NOT to use it or name specific alternatives like sheet.setCell for single updates or sheet.setData for dense updates.

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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