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MarwanDevSpace

mcp-claude-design-arabic

pipeline_design

Executes a full design pipeline to turn UI component code into clean, production-ready Arabic/Bilingual interfaces, covering RTL layouts, typography, micro-interactions, and quality audits.

Instructions

Executes the unified multi-agent design pipeline (Brief Inference -> Art Direction -> RTL & BiDi Forms -> Arabic Typography -> Micro-Interactions -> Anti-Slop Audit -> Pre-Flight Checklist -> Benchmark) to generate clean, production-ready Arabic/Bilingual UI code.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
brandNameNo
arabicFontNo
accentColorNo
primaryColorNo
targetFormatNo
componentCodeNoThe UI component markup or CSS to process
Behavior2/5

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

No annotations are provided, so the description bears full responsibility for disclosing behavior. It only says it 'executes' the pipeline and 'generates' code, without mentioning whether it is long-running, has side effects, or requires specific inputs. It also fails to describe the return format or any error behavior.

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 sentence that front-loads the main action and uses a parenthetical list to enumerate pipeline stages. It is informative but somewhat lengthy at 30 words; still, every element adds context about the tool's scope.

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?

Given the tool's complexity (a multi-stage pipeline) and the absence of both annotations and an output schema, this description is insufficient. It provides a high-level overview but omits critical details such as required inputs, parameter meanings, and expected output structure, making it hard to invoke correctly.

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?

The schema has only 17% description coverage, and the description itself lists no parameter information. Only 'componentCode' has a description in the schema; the other 5 parameters are completely undocumented. The description does not map the pipeline stages to input parameters, leaving the agent without adequate semantics.

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 it 'Executes the unified multi-agent design pipeline' and outputs 'clean, production-ready Arabic/Bilingual UI code,' which clearly identifies the tool's function. However, it does not differentiate from the sibling tool 'run_full_design_pipeline,' which appears to have an identical purpose, so it lacks sibling distinction.

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 is for running the complete design pipeline from brief to benchmark, but it provides no explicit guidance on when to choose this over alternatives like 'invoke_design_agent' or 'anti_slop_audit.' There is no mention of exclusions or specific use cases.

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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