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Jasuni69

Microsoft Fabric MCP Server

by Jasuni69

install_requirements

Install Python packages from a requirements.txt file into the Spark environment of a Microsoft Fabric workspace, making required libraries available for notebooks and jobs.

Instructions

Install Python requirements for the workspace Spark environment.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workspaceNo
requirements_txtNo

Schema Changelog

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

  1. First observedv0.1.0

TDQS

C2.6/5.0
Behavior2/5

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

With no annotations provided, the description carries full responsibility for behavioral disclosure. It only says 'Install', which signals a mutation, but does not state whether packages are overwritten, whether permissions are required, whether the install is persistent within the Spark session, or what side effects or outputs to expect.

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 a single, front-loaded sentence with no wasted words. It is appropriately concise for its simple purpose, though it omits parameter and usage details that would make it more useful.

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 undocumented optional parameters, no annotations, no output schema, and a closely related sibling (install_wheel), the description is too thin. It gives no guidance on required inputs, preconditions, or expected behavior after invocation, so an agent would struggle to call it correctly in a real scenario.

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

Parameters1/5

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

Schema description coverage is 0% and the description does not explain either parameter. An agent cannot infer that 'requirements_txt' likely holds the contents of a requirements.txt file or that 'workspace' selects the target environment. This is a significant gap since no structured descriptions exist to compensate.

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 clear verb ('Install') and resource ('Python requirements') with a target environment ('workspace Spark environment'). It is distinct enough from the sibling install_wheel by implying requirements.txt rather than .whl files, though it does not explicitly name that distinction.

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 is given on when to use this tool versus install_wheel, nor are prerequisites such as needing a configured workspace mentioned. The wording implies a workspace context but stops short of instructing the agent to set one first or explaining how install_requirements differs from other package installation 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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