Skip to main content
Glama
manish-coder-1007

tableau-mcp-navi

get_view_image

Retrieve a PNG image preview of a Tableau view by providing its view ID. Returns base64 encoded image data for easy integration.

Instructions

Get a PNG image preview of a view.

Args: view_id: The ID of the view

Returns: Base64 encoded image data or error message

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
view_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are present, so the description should disclose behavioral traits. It only mentions returning Base64 image or error, but omits side effects, permissions, or size limits.

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 concise and includes structured args/returns documentation, though the docstring format adds minor verbosity. No wasted sentences.

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 simplicity (1 param, output schema), the description covers basic purpose and return. However, it lacks context on what 'preview' implies and differentiation from similar tools.

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

Parameters2/5

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

The schema has 0% description coverage. The description adds 'view_id: The ID of the view', which merely repeats the title without adding meaningful semantic detail.

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 verb 'Get', the resource 'PNG image preview of a view', and the format, distinguishing it from siblings like 'get_view_data' and 'download_view_image'.

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?

No guidance is provided on when to use this tool versus siblings like 'download_view_image' or 'download_view_image_from_url'. The description lacks context for selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/manish-coder-1007/tableau-mcp-navi'

If you have feedback or need assistance with the MCP directory API, please join our Discord server