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MossaJehad

UI System Selector MCP

by MossaJehad

compare_ui_systems

Compare 2 to 8 UI systems side-by-side across styling, accessibility, density, opinionated level, strengths, weaknesses, and target domains to choose the right design system.

Instructions

Compare 2 to 8 UI systems side-by-side across styling, accessibility, density, opinionated level, strengths, weaknesses, and target domains.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
systemsYesArray of UI system IDs to compare (e.g. ["primer", "carbon", "cloudscape"])
Install Server

TDQS

A3.8/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It conveys that this is an analytical, non-mutating comparison and reveals the dimensions evaluated: styling, accessibility, density, opinionated level, strengths, weaknesses, and target domains. However, it does not describe the output format, behavior on invalid system IDs, or any data-fetching implications, so transparency is adequate but incomplete.

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 sentence with no filler. The verb, resource, count bounds, and comparison dimensions are all front-loaded, making it immediately scannable for an agent.

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?

For a one-parameter tool, the description is nearly complete: it tells the agent what to pass (2 to 8 UI systems) and what aspects will be compared. Since there is no output schema, it would benefit from a brief note about the result format, but this omission does not prevent correct invocation or tool selection.

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?

The input schema already fully documents the 'systems' parameter, including min/max items, item type, and an example. The description adds only the '2 to 8' count constraint and the UI-system domain, reinforcing rather than extending the schema. Since schema coverage is 100%, a baseline score of 3 is appropriate.

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 states a specific action ('Compare'), a bounded scope ('2 to 8 UI systems'), and the exact comparison dimensions. This clearly distinguishes the tool from siblings like get_ui_system, list_ui_systems, and search_ui_systems, which operate on single systems or lists rather than side-by-side comparison.

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 implies the tool should be used when comparing multiple UI systems side-by-side, which helps separate it from single-system tools. However, it does not explicitly mention when not to use it or name alternatives like recommend_ui_systems for cases where a single recommendation is needed. Usage guidance is present only by implication.

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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