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excel_write_to_sheet

Destructive

Write data to Excel sheets efficiently by specifying file path, sheet name, cell range, and values. Supports new sheet creation and formula input.

Instructions

Write values to the Excel sheet

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fileAbsolutePathYesAbsolute path to the Excel file
newSheetYesCreate a new sheet if true, otherwise write to the existing sheet
rangeYesRange of cells in the Excel sheet (e.g., "A1:C10")
sheetNameYesSheet name in the Excel file
valuesYesValues to write to the Excel sheet. If the value is a formula, it should start with "="
Behavior3/5

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

Annotations provide clear hints (destructive, not read-only, not idempotent, open-world), so the bar is lower. The description adds minimal context by implying mutation ('write'), but doesn't elaborate on behavioral traits like overwriting existing data, error handling, or file modification effects beyond what annotations cover. No contradiction with annotations.

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, efficient sentence with no wasted words, making it front-loaded and easy to parse. However, it's overly terse, bordering on under-specified for a complex tool with 5 parameters and destructive behavior.

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 the tool's complexity (5 parameters, destructive hint, no output schema), the description is incomplete. It doesn't explain return values, error conditions, or interactions with siblings, leaving significant gaps for an AI agent to infer usage in a rich toolset.

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%, with detailed parameter descriptions in the input schema. The tool description adds no additional meaning about parameters beyond the basic action, so it meets the baseline of 3 without compensating value.

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

Purpose3/5

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

The description 'Write values to the Excel sheet' states the basic action (write) and resource (Excel sheet), but it's vague about scope and doesn't differentiate from siblings like excel_format_range (which also writes formatting) or excel_create_table (which creates structured data). It lacks specificity about what kind of values or operations are involved.

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 like excel_copy_sheet or excel_create_table. The description doesn't mention prerequisites (e.g., file existence), exclusions, or contextual cues for selection among write-related siblings.

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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