studyloop-webmcp.web.app
StudyLoop — a live, adaptive quiz workshop where you and your AI agent study together on one page. Built on WebMCP.
First seen 2026-11-05 · Last seen 2026-11-05 · Source: webmcp.com
Answer 0 · Act 7 · Transact 0 · Score: Not yet scored
Tool inspector
set_study_plan
Render (or replace) the visible study-plan sidebar — the roadmap you are steering the student through. Set it early, then keep statuses honest as the session progresses: planned → in_progress → done. The plan survives across sessions. Replaces the whole list each call (1–12 topics). Example: {"topics": [{"topic": "alliances", "status": "done"}, {"topic": "July Crisis", "status": "in_progress"}, {"topic": "naval arms race", "status": "planned"}]} — bare strings also work: {"topics": ["alliances", "July Crisis"]}
Input schema
| Property | Type | Required | Description |
|---|---|---|---|
topics |
array | yes | The full plan, in order. Strings default to status 'planned'. |
Raw JSON schema
{
"type": "object",
"properties": {
"topics": {
"type": "array",
"minItems": 1,
"maxItems": 12,
"items": {
"anyOf": [
{
"type": "string",
"maxLength": 60
},
{
"type": "object",
"properties": {
"topic": {
"type": "string",
"maxLength": 60
},
"status": {
"type": "string",
"enum": [
"planned",
"in_progress",
"done"
]
}
},
"required": [
"topic"
]
}
]
},
"description": "The full plan, in order. Strings default to status 'planned'."
}
},
"required": [
"topics"
]
}
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