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rcarmo

office-document-mcp-server

by rcarmo

excel_list_sheets

Read-only

List all sheets in an Excel workbook and retrieve their properties, including visibility, dimensions, tables, and data validations, to assess the workbook structure.

Instructions

List all sheets in an Excel workbook with their properties.

Provides detailed information about each sheet including visibility, dimensions, and whether it contains tables or data validations.

Example: excel_list_sheets(file_path="template.xlsx")

Args: file_path: Path to the .xlsx or .xlsm file include_hidden: Include hidden and very hidden sheets (default True)

Returns: Dictionary with sheet information including names, states, and metadata

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
file_pathYesPath to the .xlsx or .xlsm file
include_hiddenNoInclude hidden and very hidden sheets (default True)
Behavior4/5

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

Annotations already indicate read-only behavior, and the description adds context by detailing the output (visibility, dimensions, tables, data validations). It provides an example and parameter details, enhancing transparency beyond the 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 well-structured with a clear purpose, example, and parameter breakdown. It is slightly verbose with a 'Returns' section that duplicates schema info, but overall it is efficient and front-loaded.

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 simplicity, the description covers the essential aspects: what it does, how to use it, and what it returns. It lacks an explicit output schema but adequately describes the return value. Annotations cover safety, so no gaps.

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 100%, and the description's parameter descriptions largely repeat the schema. The example usage provides minimal additional context for parameter semantics, but does not significantly enrich meaning beyond the schema.

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 lists all sheets in an Excel workbook with properties. It uses a specific verb-resource pair ('list sheets') and distinguishes itself from sibling Excel tools that perform different actions (e.g., adding or modifying sheets).

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

Usage Guidelines3/5

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

The description implies usage by stating the tool's purpose but provides no explicit guidance on when to use it versus alternatives. It does not mention when not to use it or suggest other tools for related tasks.

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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