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Create Table

create_table

Turn a cell range into an Excel table with headers, naming, and structured references in a live workbook.

Instructions

Create an Excel Table from a range.

Args: workbook: Workbook name or path (None = active workbook). sheet: Worksheet name (None = active sheet). range_address: A1-style address the table will cover, e.g. "A1:C10". table_name: Name for the new table (None = Excel's default, e.g. "Table1"). has_headers: Whether the range's first row is a header row.

Returns: JSON with the new table's name and range.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sheetNo
workbookNo
table_nameNo
has_headersNo
range_addressNoA1
Behavior3/5

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

Annotations carry no read-only/destructive hints, so the description must carry more weight. It discloses useful defaults (active workbook/sheet, Excel default table name) and the JSON return shape, but it does not address what happens on table-name conflicts, whether existing range data is altered, or other side effects. This is an adequate but not fully transparent disclosure for a mutation.

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 and front-loaded with a one-sentence summary, followed by a clear Args list and a Returns line. There is no filler or repetition of schema types.

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?

For a five-parameter tool with no output schema and minimal annotations, the description covers inputs and return value adequately. It lacks edge-behavior context such as name-conflict errors, but an agent has enough information to invoke the tool successfully in the normal case.

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

Parameters5/5

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

Schema description coverage is 0%, but the description documents all five parameters with meaningful semantics: workbook/sheet fallback behavior, A1-style range addressing, table naming defaults, and the header-row flag. It fully compensates for the schema's lack of parameter descriptions.

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 opens with a specific verb and resource: 'Create an Excel Table from a range.' This states exactly what the tool does and its scope, and the phrase 'from a range' distinguishes it from sibling table operations like list_tables or delete_table.

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 gives clear context: call this tool when an Excel Table needs to be created over an A1 range, with workbook/sheet defaults if not provided. It does not explicitly name alternatives or exclusion cases, but the operation is specific enough that an agent can identify when it applies.

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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