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datalabs89

Tableau Public MCP Server

by datalabs89

unpack_twbx

Extract and categorize contents of a Tableau .twbx file, including workbook XML, data extracts, and images, to analyze its structure and inventory.

Instructions

Extracts and analyzes the contents of a Tableau .twbx file. A .twbx is a packaged workbook containing the workbook XML (.twb), data extracts, and images. Returns the extraction path and a categorized inventory of all files. Categories: twb (workbook XML), data (extracts like .hyper/.tde), image (embedded images), other. Use with files downloaded via download_workbook_twbx tool.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filePathYes
extractToYes
Behavior3/5

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

With no annotations provided, the description carries the transparency burden. It discloses that the tool extracts files and returns a path, but does not mention side effects like file system writes beyond the extraction path, cleanup behavior, or required permissions. This is basic transparency but lacks depth.

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 concise, using three sentences that front-load the main purpose and provide essential details (return type, categories, usage context). Every sentence contributes valuable information without redundancy.

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?

The description adequately explains the return value and categories, and mentions the download dependency. It lacks details on error handling, edge cases, or the exact scope of 'analyzes,' but is sufficient for a tool of this complexity given the schema descriptions.

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?

Although the context signal reports 0% schema coverage, the actual schema includes descriptions for both parameters (filePath and extractTo), providing sufficient semantics. The description itself adds no parameter-specific details, so the baseline of 3 is appropriate given high schema coverage.

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's function: 'Extracts and analyzes the contents of a Tableau .twbx file.' It specifies the return value (extraction path and categorized inventory) and defines categories, distinguishing it from sibling tools that analyze specific aspects like calculated fields or structure.

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 usage context by stating 'Use with files downloaded via download_workbook_twbx tool,' implying the tool is for post-download analysis. It doesn't explicitly exclude alternatives but the focus on extraction and inventory makes it clear when to use this tool over more targeted 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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