Quantabble — AP Science Misconception Diagnostics
Misconception detection for AP Chemistry & Physics 1. 90% catch rate vs 24% baseline.
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Calidad y seguridad
Basado en el análisis automatizado de las definiciones de herramientas y el cumplimiento del protocolo.
Costo de contexto
Este es el número aproximado de tokens que se consumen cada vez que las herramientas del servidor se cargan en el contexto de un modelo. Los recuentos más altos reducen la atención disponible para otras tareas.
Instalar
Instalación con un clic
Agrega esto a tu archivo `claude_desktop_config.json`:
{
"mcpServers": {
"ap-science-diagnostics": {
"url": "https://quantabble-api.chemandphysicsmastery.workers.dev"
}
}
}Puntos de conexión remotos
https://quantabble-api.chemandphysicsmastery.workers.devstreamable-httpQué puede hacer
Inventario de herramientas
Herramientas (2)
⚪diagnose_response(student_response, schema_id)
Evaluate a student's written explanation in AP Chemistry, AP Physics 1, high school chemistry, high school physics, college chemistry, or college physics (algebra-based). Returns whether a misconception was detected in their reasoning, a ready-to-deliver tutor response you can say to the student verbatim, and a follow-up probe question to ask next. Use this whenever a student writes an explanation and you need to know what to say next. Do not use for single-word or number-only answers.
Esquema de entrada
{
"type": "object",
"properties": {
"student_response": {
"type": "string",
"description": "The student's own words — their explanation, reasoning, or answer in free-response form. At least one complete sentence with a stated reason works best."
},
"schema_id": {
"type": "string",
"description": "Optional. Target a specific schema (e.g. \"AP_CHEM_1_1\") if you already know the topic. If omitted, the API routes automatically across all 130 schemas."
}
},
"required": [
"student_response"
]
}🟢get_coverage
Returns the list of subjects and unit counts covered by Quantabble. Use this to check whether a student's topic is within scope before calling diagnose_response.
Esquema de entrada
{
"type": "object",
"properties": {},
"required": []
}Comunidad
Evidencia