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sdebruyn

fabric-dw-mcp-cli

by sdebruyn

list_views

List SQL views in a Microsoft Fabric warehouse or SQL Analytics Endpoint, with optional schema filtering.

Instructions

List SQL views on a warehouse or SQL Analytics Endpoint.

Args: workspace: Workspace name or GUID. item: Warehouse or SQL endpoint name or GUID. schema: When provided, only views in this schema are returned.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workspaceYes
itemYes
schemaNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided. The description does not disclose any behavioral traits such as read-only nature, side effects, or permissions. As a simple list operation, it is adequate but lacks detail.

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 very concise, with a clear first line summarizing the tool's purpose followed by a list of parameter explanations. Every sentence adds value without unnecessary verbosity.

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

Completeness4/5

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

Given the presence of an output schema, the description does not need to explain return values. It covers the main functionality and parameters adequately. Could briefly mention that it only returns view metadata but not necessary.

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?

With 0% schema description coverage, the description compensates by explaining each parameter: workspace, item, and schema. It adds meaning beyond the schema by describing their roles and the effect of the optional schema filter.

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 'List', the resource 'SQL views', and the scope 'on a warehouse or SQL Analytics Endpoint'. It distinguishes itself from sibling tools like list_tables, list_functions, etc.

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 lists required args and explains the schema parameter, implying usage. However, it does not provide explicit guidance on when to use this tool versus alternatives like get_view or how it differs from other list tools.

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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