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og-mcp

Microsoft Fabric MCP Server

by og-mcp

fabric_list_lakehouse_tables

Read-only

List all Delta tables within a specified Microsoft Fabric lakehouse. Provide the lakehouse ID to retrieve table details.

Instructions

List the Delta tables in a lakehouse.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
lakehouseIdYesLakehouse ID
workspaceNoWorkspace ID (defaults to FABRIC_DEFAULT_WORKSPACE)
Behavior3/5

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

Annotations already declare 'readOnlyHint: true', so the description doesn't need to disclose safety. However, it adds no extra behavioral details (e.g., pagination, return format, limits). Does not contradict annotations.

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?

Single sentence, no fluff. Could be improved by front-loading a bit more detail (e.g., 'Lists Delta tables in a lakehouse given its ID'), but still efficient.

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 simplicity (2 params, no output schema), the description is adequate but lacks hints about return values or constraints. For a complete listing tool, it could mention 'returns table names and metadata'.

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% (both parameters have clear descriptions). The description adds no additional meaning beyond the schema, so baseline 3 applies.

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 uses a specific verb ('List') and resource ('Delta tables in a lakehouse'), clearly distinguishing it from sibling tools like 'fabric_list_lakehouses' (lists lakehouses) and 'fabric_list_items' (generic items). The name also reinforces the purpose.

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 on when to use this tool versus alternatives, no prerequisites, no exclusion criteria. The sibling list is large but the description offers no differentiation or context for selection.

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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