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afialho

MCP Dev Tools

by afialho

qr_code_utils_dev-tools

Generate QR codes from URLs, text, email, phone, Wi-Fi, vCard, or SMS data. Configure colors, size, margin, error correction, and output as SVG, PNG base64, or terminal.

Instructions

Utilidades para QR Code: gerar QR codes a partir de URLs, textos e dados diversos com diferentes formatos e configurações

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tipoNoTipo de dados para gerar QR Codetexto
dadosYesDados para gerar QR Code (URL, texto, JSON, etc.)
margemNoMargem ao redor do QR Code
formatoNoFormato de saída do QR Codesvg
tamanhoNoTamanho do QR Code em pixels (para PNG)
operacaoYesOperação: gerar QR codes a partir de dados
cor_fundoNoCor de fundo (hex)#FFFFFF
cor_frenteNoCor da frente (hex)#000000
correcao_erroNoNível de correção de erroM

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.8.0

TDQS

B3.2/5.0
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 does not state whether the tool returns an SVG string, base64 payload, or terminal output, nor does it disclose side effects, permissions, or output location behavior.

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 front-loaded sentence with no filler or repetition. It names the utility domain first and then the generation action, which is appropriate for the tool.

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?

This is a nine-parameter generation tool with no output schema and no annotations, so the description should clarify output form and behavior. It instead provides only a one-line summary of purpose and input categories, leaving return values and execution semantics undocumented.

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 description coverage is 100%, so the schema already documents all nine parameters, including enums and defaults. The description mentions formats and configurations but adds no syntax or meaning beyond what the schema provides.

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?

States a specific verb (gerar) and resource (QR codes) and lists input categories (URLs, textos, dados diversos). The resource is clearly distinct from all sibling utility tools, which cover CPF, CNPJ, hashes, dates, and similar unrelated domains.

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?

The description explains what the tool does but gives no explicit when-to-use guidance, prerequisites, or alternatives. There are no sibling QR tools to route against, but the definition still leaves usage conditions entirely implied.

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