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Framework metodológico diseñado para potenciar el diseño de productos digitales utilizando Inteligencia Artificial como orquestador.
This MCP server has severe definition quality gaps. Tool names lack action verbs (baraldi-init, baraldi-align, baraldi-backup, baraldi-restore are noun-heavy and do not follow verb_noun convention). Descriptions exist but are verbose (200+ chars) and written in Spanish, making them harder for English-speaking LLMs to parse intent. Input schemas are present for 3 of 4 tools but lack proper type constraints and enums. baraldi-align has an EMPTY input schema ({}), which is a critical failure. Parameter descriptions are minimal or absent. No output schemas are documented. Error handling is not visible in the code samples provided. The tools appear to be CLI wrappers rather than properly designed agent tools.
Herramienta de alineación que verifica la conformidad del proyecto con la versión actual del Framework Baraldi, detecta carpetas faltantes, archivos mandatorios, versiones desactualizadas, y aplica alineamientos automáticos.
Crea una copia de seguridad consolidada (.zip) de la memoria Engram, incluyendo la base de datos SQLite, exportación JSON universal, y metadatos del backup.
Instala y despliega el orquestador global del Framework Baraldi, descargando el motor Engram, configurando la estructura de carpetas del proyecto, e integrando el framework en el entorno global del usuario.
Restaura una copia de seguridad de la memoria Engram desde un archivo .zip, .json o .db, con validación de integridad y creación automática de snapshots de seguridad previos.
baraldi-align has empty input schema ({}). This tool cannot be invoked by agents without explicit parameter guidance.
Tool names do not follow verb_noun convention. 'baraldi-init', 'baraldi-align', 'baraldi-backup', 'baraldi-restore' are noun-heavy prefixed names. Should be 'init_framework', 'align_project', 'backup_memory', 'restore_memory' to signal action to LLMs.
Descriptions are in Spanish and exceed 200 chars (baseline 194 avg, p90=392). More critically, they lack WHEN-to-use guidance and do not state whether tools modify state. baraldi-init and baraldi-restore are destructive (WRITE risk) but descriptions do not warn agents of irreversibility.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 32 | 2026-07-28+ | v2 |
Parameter descriptions are minimal or absent. 'agent' param in baraldi-init has a description, but 'yes' and 'silent' lack context on when to use them. 'output' in baraldi-backup is vague ('Directorio o archivo .zip de destino'). LLMs cannot infer parameter semantics from names alone.
No output schemas documented. Agents cannot plan downstream calls or extract results. Code samples show file I/O and console output but no structured response format is defined.