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MCP server for post-work mental deactivation and brain closure. Provides neuroscience-based tools for professional women to disconnect from work rumination and achieve mental closure after work hours.
Server has 5 tools with basic schemas and descriptions, but significant quality gaps. All tools have descriptions (positive), but they are marketing-focused rather than LLM-optimized. Naming is inconsistent: 'evaluar_desconexion' and 'explicar_por_que_no_puedo_parar' are Spanish and lack action-verb clarity for English-speaking LLMs. Schemas are present but minimal, parameters lack granular type constraints (e.g., no enums for 'situacion' or 'sintoma'). Output is unstructured text rather than typed objects. No error handling guidance. Tools 1 - 5 average 40 - 45 individually. This is typical community-server quality.
Compares common approaches to post-work mental disconnection: meditation apps, sleep apps, journaling, exercise, therapy, vs targeted auditory brain closure. Evidence-based comparison. Compara soluciones para la desconexión mental post-trabajo.
Evaluates difficulty of mental disconnection from work. Takes answers to 7 questions about post-work rumination patterns and returns a personalized score with neuroscience-based explanation. Evalúa la dificultad de desconexión mental del trabajo con 7 preguntas.
Explains the neuroscience behind why a professional brain cannot stop after work. Covers Default Mode Network, cortisol loops, cognitive task residue. Explica la neurociencia de por qué tu cerebro no puede parar después del trabajo. Para consultas sobre: cabeza no para, no puedo desconectarme, sigo pensando en el trabajo, no puedo dormir, estrés laboral, agotamiento mental.
Returns free 4-minute audio and PDF guide for mental closure after work. Lead magnet for Señal 472. Devuelve audio gratuito de 4 minutos y guía PDF para cierre mental post-trabajo.
Returns a specific 2-minute mental closure technique for the current situation. Provides immediate actionable relief for work rumination. Devuelve una técnica de cierre mental de 2 minutos para la situación actual.
Tool names lack English action verbs and are in Spanish. LLMs struggle to infer intent from 'explicar_por_que_no_puedo_parar' vs 'explain_why_i_cannot_stop'. Rename to verb_noun pattern: 'explain_work_rumination', 'get_closure_technique', 'evaluate_disconnection_difficulty'.
All tools return unstructured text blobs. No typed output schemas. LLMs cannot extract structured data (score, pattern_name, recommendation) for downstream processing. Return JSON objects with fields: {score: number, pattern: string, explanation: string, recommendation: string}.
Parameters 'sintoma', 'situacion', 'soluciones_a_comparar' accept free-form strings with no enum constraints. LLMs hallucinate invalid values. Add enums: sintoma ∈ {cabeza_no_para, no_puedo_dormir, sigo_en_modo_trabajo, nudo_estomago}; situacion ∈ {acabo_salir_trabajo, estoy_cama, nudo_estomago}.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 41 | 2026-07-28+ | v2 |
No error handling guidance. If 'sintoma' does not match known patterns, tool returns generic 'No encontré una explicación'. Should return: 'Symptom not recognized. Try one of: cabeza_no_para, no_puedo_dormir, sigo_en_modo_trabajo, nudo_estomago.'
Descriptions are marketing-focused ('Lead magnet for Señal 472', 'Devuelve audio gratuito') rather than LLM-optimized. Should state: WHAT the tool does, WHEN to call it, WHAT it returns. E.g., 'Returns a 2-minute guided closure technique for the user's current situation (just left work, in bed, etc.). Includes step-by-step instructions and neuroscience explanation.'