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rtl_starter_snippet

Generates a minimal RTL-ready starter snippet for HTML, CSS, Tailwind, Next.js, React, or Vue, enabling Persian right-to-left frontend setup.

Instructions

Minimal RTL-ready setup for html, css, tailwind, nextjs, react or vue.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
frameworkYes

Schema Changelog

Changes observed during successful MCP inspections.

  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?

No annotations are provided, so the description carries the full behavioral burden. It notes the setup is 'minimal' but does not disclose what is actually returned (code block, multiple files, boilerplate?), whether it is read-only, or whether output depends on anything beyond the framework value.

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?

One short sentence, well front-loaded, with no filler. The framework enumeration is mild redundancy against the schema enum, but it reads as a fast reference rather than padding.

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

Completeness3/5

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

For a one-parameter tool this is nearly adequate: the agent knows the input space and roughly what it gets. The remaining gap is the return artifact — a snippet generator should indicate what form the output takes, especially with no output schema present.

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 coverage is 0% for the single required parameter, so the description must compensate — but it merely restates the enum values already listed in the schema. It adds no meaning about what selecting a given framework produces or how the values differ.

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?

Names the concrete deliverable (a minimal RTL-ready starter setup) and enumerates the target frameworks, which distinguishes it from the audit/convert siblings. The verb is implicit — it never says 'generate' or 'return a snippet' — so the action is inferred from the tool name rather than stated.

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 when-to-use guidance, no prerequisite, and no alternative named. With siblings like rtl_guidelines, rtl_audit_css, rtl_convert_css and rtl_convert_tailwind in the same space, the description never explains when a starter snippet is the right pick over those.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.