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sdebruyn

fabric-dw-mcp-cli

by sdebruyn

list_warehouses

List all warehouses and SQL analytics endpoints in a workspace. Aggregate results across all workspaces when needed.

Instructions

List all warehouses and SQL analytics endpoints in a workspace.

Args: workspace: Workspace name or GUID. Optional when all_workspaces is True; required otherwise. all_workspaces: When True, ignore workspace and aggregate results across every workspace the caller can see.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workspaceNo
all_workspacesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Without annotations, the description carries full burden. It mentions aggregation across workspaces but omits safety guarantees, error cases, pagination, or permissions. Adequate but not thorough.

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 and front-loaded with the main purpose. The Args section is structured and every sentence adds value without redundancy.

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?

Given the tool has 2 optional params and an output schema, the description explains parameter behavior and aggregation sufficiently. No missing critical information for a list operation.

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?

Since schema coverage is 0%, the description fully compensates by explaining workspace optionality and all_workspaces aggregation behavior, adding significant meaning beyond the schema's type/default info.

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 it lists both warehouses and SQL analytics endpoints, using specific verbs and resources. It distinguishes from siblings like list_workspaces and list_sql_endpoints by combining both entity types.

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 description provides guidance on parameter usage (workspace vs all_workspaces) but does not explicitly state when to use this tool over siblings like list_sql_endpoints for endpoints only. No 'when-not' or alternative suggestions.

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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