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warehouse_list_tables

Read-only

List all tables in a specified Microsoft Fabric warehouse to discover available data for analysis or queries.

Instructions

List all tables in a warehouse

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
warehouseIdYesThe warehouse ID
workspaceIdYesThe workspace ID

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv2.8.0

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description confirms a listing operation but adds little beyond that; it does not mention pagination, permissions, or response behavior.

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 a single, front-loaded sentence with no filler or repetition. Every word is meaningful and directly states the operation.

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?

For a simple read-only list tool, the description is adequate, but it lacks details such as output shape, pagination behavior, or any caveats about scope. Since there is no output schema, a bit more context about what the response contains would improve completeness.

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 description coverage is 100%, with warehouseId and workspaceId both described as IDs in the schema. The description adds no additional parameter semantics beyond what the schema already provides.

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 states a specific verb and resource: 'List all tables in a warehouse'. This clearly distinguishes it from sibling tools like warehouse_list (which lists warehouses) and lakehouse_list_tables (which lists tables in a lakehouse).

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 intended use case is implied by the description—use this when you need to enumerate tables within a warehouse—but there is no explicit guidance about when not to use it or which sibling alternative to prefer, such as lakehouse_list_tables.

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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