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sdebruyn

fabric-dw-mcp-cli

by sdebruyn

set_workspace_collation

Sets the default Data Warehouse collation for a workspace. Supported values include Latin1_General_100_BIN2_UTF8, Latin1_General_CI_AS, and more.

Instructions

Set the default Data Warehouse collation for a workspace.

Args: workspace: Workspace name or GUID. collation: Collation to apply. Fabric Data Warehouse supports a fixed set of collations. Supported values include:

    - ``Latin1_General_100_BIN2_UTF8`` (recommended default)
    - ``Latin1_General_100_CI_AS_KS_WS_SC_UTF8``
    - ``Latin1_General_CI_AS``
    - ``SQL_Latin1_General_CP1_CI_AS``

    Supplying an unsupported value will cause the Fabric API to
    return an error.  See the Fabric documentation for the full
    list of supported collations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workspaceYes
collationYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided, so the description carries the full burden. It mentions that unsupported collations cause an error, but it does not disclose permissions, reversibility, or effects on existing data. This is adequate but lacks depth for a mutation tool.

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?

The description is organized with an Args block and front-loaded purpose. It is slightly verbose due to the collation list, but the list is useful. No wasted sentences.

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 no annotations and the tool's simplicity, the description covers the action, parameters with examples, and error condition. It lacks prerequisites (e.g., workspace existence) but is otherwise complete for a configuration tool.

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?

Schema description coverage is 0%, so the description compensates by clarifying that workspace is a name or GUID and listing supported collation values with a note about errors. This adds significant meaning beyond the schema's plain string type.

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 action (set) and resource (default Data Warehouse collation for a workspace). It distinguishes itself from sibling tools since no other tool sets collation, and the verb 'set' is specific.

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 does not explicitly state when to use this tool versus alternatives, nor does it provide prerequisites or exclusions. However, the context of setting a collation is self-explanatory, and the list of supported values guides proper usage.

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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