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manish-coder-1007

tableau-mcp-navi

get_datasource_tables

Retrieve the upstream database tables powering a Tableau datasource. Ideal for root cause analysis by showing which tables are queried.

Instructions

Get the actual upstream tables (e.g., corp_analytics tables) used by a datasource. This is the KEY tool for RCA - shows exactly which tables power a Tableau datasource.

Use this to answer: "What tables does this datasource query?"

Args: datasource_name: Name of the datasource (e.g., "NAVI Pay DM", "GI Business Data Model")

Returns: List of upstream tables with schema and database info

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
datasource_nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations given, so description carries full burden. It accurately describes the tool as a read operation, but lacks details on authentication or side effects, which are minimal for this simple tool.

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?

Two concise paragraphs with clear Args/Returns. No unnecessary words.

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?

Has output schema, so returns are not needed in detail. Description covers purpose, parameter, and expected output sufficiently for a single-parameter tool.

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

Parameters4/5

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

Schema coverage is 0%, so description adds value by providing example value and explaining what the parameter is. It compensates for the schema's lack of description.

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?

Clearly states it gets upstream tables used by a datasource, explicitly for RCA. Distinguishes from siblings like get_datasource and get_dashboard_tables.

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?

Provides a direct query ('What tables does this datasource query?'), but does not explicitly mention when not to use or compare to alternatives among 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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