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Jasuni69

Microsoft Fabric MCP Server

by Jasuni69

install_wheel

Install a wheel package into the workspace Spark environment to make custom Python libraries available for notebooks and jobs.

Instructions

Install a wheel package into the workspace Spark environment.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
wheel_urlNo
workspaceNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

C2.8/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure, but it only says 'install' with no details about side effects, persistence, dependency handling, permissions, or failure modes. The mutating nature of the operation is implied but not elaborated.

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 a single, well-structured sentence that front-loads the action, resource, and destination with no filler or repetition. It is concise without sacrificing the core purpose.

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

Completeness2/5

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

For a tool with two parameters, no annotations, and no output schema, the description is too sparse to fully guide an agent. Missing details include how to form the wheel URL, what the workspace parameter means, whether installation is session-scoped or persistent, and what success or failure looks like.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description adds no meaning for 'wheel_url' or 'workspace' beyond their names and defaults. 'wheel_url' is somewhat self-explanatory from its title, but 'workspace' remains ambiguous—whether it selects the target environment or requires a prior set_workspace call is not clarified.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Install'), a concrete resource ('a wheel package'), and a target environment ('workspace Spark environment'), making the tool's purpose clear. It is implicitly distinct from the sibling install_requirements because it specifically targets wheel packages, though it does not explicitly name that alternative.

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?

There is no guidance on when to use this tool versus alternatives like install_requirements, nor any mention of prerequisites, expected wheel URL formats, or whether a workspace must be set first. The usage context is only implied by the description and parameter names.

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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