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sdebruyn

fabric-dw-mcp-cli

by sdebruyn

drop_view

Deletes a SQL view from a Fabric warehouse or SQL endpoint by specifying the workspace, item, and qualified view name.

Instructions

Drop a SQL view.

Args: workspace: Workspace name or GUID. item: Warehouse or SQL endpoint name or GUID. qualified_name: Dot-separated qualified view name, e.g. dbo.vw_sales.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workspaceYes
itemYes
qualified_nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It merely states 'Drop' without mentioning irreversibility, permission requirements, or side effects (e.g., cascading drops). For a destructive operation, this is insufficient.

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: a single line for purpose followed by parameter details. Every sentence earns its place with no redundancy or unnecessary text.

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 simple nature of the tool and the presence of an output schema, the description covers basic purpose and parameters. However, it lacks usage context or clarification of behavior (e.g., error cases, prerequisites), making it minimally adequate.

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?

Since the input schema has no descriptions (0% coverage), the description compensates by explaining each parameter: workspace, item, and qualified_name with an example format. This adds meaningful guidance beyond the schema structure.

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 explicitly states 'Drop a SQL view,' which is a clear verb+resource combination. This distinguishes it from sibling tools like create_view, read_view, or rename_view.

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?

The description provides no guidance on when to use this tool versus alternatives (e.g., drop_table, drop_function) nor any prerequisites or context. It only states the action without usage context.

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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