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screenshot_workbook

Screenshot a published workbook's view for human review.

Instructions

Screenshot a published workbook's view for human review.

Use after upload_workbook to capture a visual snapshot. The screenshot is saved locally for human inspection.

Args: workbook_id: The workbook ID returned by upload_workbook. output_dir: Directory to save screenshot (default: output/validation). view_index: Index of the view to screenshot (default: 0). view_name: Name of the view to screenshot (overrides view_index). env_path: Optional path to a .env file with Tableau credentials. Explicit env_path takes priority over process environment variables.

Returns: {success, path, view_name, view_id, size_kb, error}

Input Schema

NameRequiredDescriptionDefault
env_pathNo
view_nameNo
output_dirNooutput/validation
view_indexNo
workbook_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.28.0

TDQS

A4.5/5.0
Behavior4/5

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

No annotations are provided, so the description carries the full burden and does well: it discloses that the screenshot is saved locally, that Tableau credentials may be needed via a .env file, and that explicit env_path overrides process environment variables. It also enumerates the return keys. It stops short of stating whether the operation is read-only or has side effects on the published workbook.

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?

Front-loaded with the one-line purpose, then workflow context, then structured Args/Returns. Well organized; the Returns block is justified because there is no output schema, though it adds mild length.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no annotations, no output schema, and 0% schema coverage, the description supplies everything an agent needs: purpose, workflow placement, all parameter semantics, credential handling, and the return shape. Nothing material is missing for correct invocation.

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%, so the description must compensate, and it does: it documents all five parameters, their defaults, the precedence rule ('view_name overrides view_index'), and the env_path priority semantics. This is meaning the schema alone does not convey.

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?

States a specific verb and resource ('Screenshot a published workbook's view') plus the purpose ('for human review'). This is clearly distinguishable from siblings like upload_workbook or validate_workbook.

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?

Explicitly places itself in a workflow: 'Use after upload_workbook to capture a visual snapshot.' It doesn't name alternatives or exclusions, but the sequencing guidance is clear enough that an agent knows when to reach for it.

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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