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afialho

MCP Dev Tools

by afialho

base64_utils_dev-tools

Encode, decode, validate, analyze, detect, and format Base64 data, including URL-safe variants and MIME line breaks, for developer debugging and data handling.

Instructions

Utilitários completos para Base64: codificar, decodificar, validar, analisar e formatar dados Base64

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textoNoTexto para codificar (apenas para operações encode/url_encode)
operacaoYesOperação: codificar, decodificar, validar, analisar, URL-safe encode/decode, formatar ou detectar tipo
dados_base64NoLista de strings Base64 para processar (não usado em encode)
formato_saidaNoFormato do resultado decodificadotexto
largura_linhaNoLargura das linhas para formatação MIME
quebrar_linhasNoAdicionar quebras de linha (formatação MIME)
incluir_estatisticasNoIncluir estatísticas detalhadas na análise

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.8.0

TDQS

C2.9/5.0
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 burden of behavioral disclosure, and it does not state that this is a local, side-effect-free utility. It omits nothing-serious items but says nothing about error handling for invalid Base64, the max 100-item batch, or how decode output format is chosen.

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?

A single front-loaded sentence that opens with the resource and lists the operations without padding. It is appropriately sized, though the repetition of the operation names that also appear in the schema is slightly redundant.

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 7-parameter utility with no annotations and no output schema, the description covers the domain but says nothing about return shapes or output formats despite decode/format operations producing varied results. It is minimally adequate but leaves the agent inferring behavior from the schema alone.

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%, with each of the 7 parameters documented inline including enums and defaults, so the schema does the heavy lifting. The description repeats the operation set already present in the enum and adds no syntax, format, or interaction detail beyond it, matching the baseline 3.

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 names a specific resource (Base64 data) and enumerates concrete verbs (encode, decode, validate, analyze, format), so an agent immediately knows the tool's domain. It is a multi-operation utility, and while it does not explain how to route between those operations, its scope is unambiguous against unrelated siblings like gerar_uuid or email_utils.

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 lists what the tool can do but gives no guidance on when to choose it over alternatives or on which operation fits which situation. There are no prerequisites, exclusions, or pointers to sibling tools (e.g., gerar_hash for hashing). Only implied usage is conveyed through the operation list.

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