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LuciferDono

stitch-pro-mcp

by LuciferDono

Auto — Smart Orchestrator

sp_auto

Converts natural language prompts into production UI by chaining design system creation, page generation, accessibility fixes, responsive adaptation, and framework conversion.

Instructions

Describe what you want in plain English. Automatically chains design system creation, page generation, accessibility fixes, responsive adaptation, and framework conversion based on your intent.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYesWhat you want — natural language. Example: "Build a pricing page in React with shadcn, dark theme"
projectIdYesStitch project ID
outputDirNoDirectory to organize output files under
Behavior3/5

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

Annotations show non-read-only, non-destructive, non-idempotent. Description mentions chaining actions but does not detail side effects, permissions, or what gets modified. Adequate but could be more specific.

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?

Two concise sentences, front-loaded with core instruction. No wasted words; every sentence adds value.

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 an orchestrator with 3 params and no output schema, description explains the chain of actions sufficiently. Lacks output format details but not critical.

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?

Schema covers 100% with descriptions. Description adds minimal extra context (e.g., 'natural language' for prompt). Meets baseline but does not significantly enhance beyond schema.

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?

Description clearly states it auto-chains multiple design and development actions based on natural language intent. Distinct from specific sibling tools like sp_a11y or sp_generate.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Implies use for high-level requests but does not explicitly state when to avoid or prefer alternatives. Sibling tool names provide some context, but description lacks direct guidance.

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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