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excel_create_table

Destructive

Convert a specified range into a structured table within an Excel sheet, enabling organized data management. Requires file path, sheet name, and table name for precise execution.

Instructions

Create a table in the Excel sheet

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fileAbsolutePathYesAbsolute path to the Excel file
rangeNoRange to be a table (e.g., "A1:C10")
sheetNameYesSheet name where the table is created
tableNameYesTable name to be created
Behavior4/5

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

Annotations indicate destructiveHint=true and readOnlyHint=false, which the description aligns with by implying a write operation ('Create'). The description adds value by specifying the resource ('Excel sheet'), but doesn't elaborate on behavioral traits like potential file overwrites, error handling, or Excel-specific constraints beyond what annotations provide.

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 wasted words. It's front-loaded with the core action and resource, making it highly efficient and easy to parse for an agent.

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?

Given the tool's complexity (a destructive write operation with 4 parameters) and lack of output schema, the description is minimally adequate. It states what the tool does but doesn't cover return values, error cases, or Excel-specific behaviors. With annotations providing safety context, it's complete enough for basic use but lacks depth.

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?

With 100% schema description coverage, the input schema fully documents all 4 parameters. The description adds no additional meaning about parameters, such as format examples beyond 'range' or interactions between them. This meets the baseline for high schema coverage but doesn't enhance understanding.

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 clearly states the action ('Create a table') and resource ('in the Excel sheet'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like excel_format_range or excel_write_to_sheet, which might also modify Excel content, so it doesn't reach the highest score.

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. It doesn't mention prerequisites (e.g., file must exist), exclusions, or how it differs from siblings like excel_format_range for structured data. This leaves the agent without context for tool selection.

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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