Feat: microlearning implementation

src/lib/llmTools.js

@@ -341,3 +341,92 @@ export const ARTICLE_PATCH_TOOLS = [
   REMOVE_SECTION_TOOL,
   REPLACE_TAKEAWAYS_TOOL,
 ];
+
+// ── Micro Learning generation tools ───────────────────────────────────────────
+
+export const EMIT_CONCEPT_EXPLAINER_TOOL = {
+  name: 'emit_concept_explainer',
+  description: 'Return a structured concept explanation with multiple sections. Each section moves from definition → importance → practical application. The final section must include a concrete workplace example.',
+  input_schema: {
+    type: 'object',
+    properties: {
+      sections: {
+        type: 'array',
+        items: {
+          type: 'object',
+          properties: {
+            title: { type: 'string', description: 'Section heading.' },
+            content: { type: 'string', description: 'Section body in HTML. Use <p>, <ul>, <li>, <strong> tags for formatting. At least 3 sentences.' },
+          },
+          required: ['title', 'content'],
+        },
+        minItems: 3,
+        description: 'At least 3 sections: What it is, Why it matters, Practical example.',
+      },
+    },
+    required: ['sections'],
+  },
+};
+
+export const EMIT_SCENARIO_QUIZ_TOOL = {
+  name: 'emit_scenario_quiz',
+  description: 'Return a realistic workplace scenario with 3–4 plausible answer options. Exactly one option is correct. Each option must have a detailed explanation teaching why it is right or wrong.',
+  input_schema: {
+    type: 'object',
+    properties: {
+      scenario: { type: 'string', description: 'A realistic workplace situation (3–5 sentences) where the employee must decide what to do.' },
+      options: {
+        type: 'array',
+        items: {
+          type: 'object',
+          properties: {
+            text: { type: 'string', description: 'The action the employee could take.' },
+            isCorrect: { type: 'boolean', description: 'True for exactly one option.' },
+            explanation: { type: 'string', description: 'Why this option is correct or incorrect (2–3 sentences). Teach, do not just state.' },
+          },
+          required: ['text', 'isCorrect', 'explanation'],
+        },
+        minItems: 3,
+        maxItems: 4,
+      },
+    },
+    required: ['scenario', 'options'],
+  },
+};
+
+export const EMIT_FLASHCARD_SET_TOOL = {
+  name: 'emit_flashcard_set',
+  description: 'Return a set of 5–10 flashcards covering key facts, terms, and relationships from the topic. Mix question types: definitions, applications, and relationships.',
+  input_schema: {
+    type: 'object',
+    properties: {
+      cards: {
+        type: 'array',
+        items: {
+          type: 'object',
+          properties: {
+            front: { type: 'string', description: 'The question or prompt shown on the front of the card.' },
+            back: { type: 'string', description: 'The answer revealed on the back of the card.' },
+          },
+          required: ['front', 'back'],
+        },
+        minItems: 5,
+        maxItems: 10,
+      },
+    },
+    required: ['cards'],
+  },
+};
+
+export const EMIT_REFLECTION_PROMPT_TOOL = {
+  name: 'emit_reflection_prompt',
+  description: 'Return an open-ended reflection question that asks the employee to connect the topic to their own professional experience, plus a model answer showing the expected depth and specificity.',
+  input_schema: {
+    type: 'object',
+    properties: {
+      prompt: { type: 'string', description: 'An open-ended question that cannot be answered with a fact. It must require the employee to think about their own context.' },
+      model_answer: { type: 'string', description: 'An example of a thoughtful, specific response (3–5 sentences). This is not a rubric — it illustrates depth.' },
+    },
+    required: ['prompt', 'model_answer'],
+  },
+};