pairalgo-ai.vercel.app

{
  "name": "get_recommendation",
  "kind": "answer",
  "impl": "imperative",
  "description": "Recommends the next optimal algorithm problem with deterministic mathematical reasoning based on spaced repetition review schedules, category pattern gaps, and interview frequency weights.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "set": {
        "type": "string",
        "enum": [
          "all",
          "core-75",
          "extended-150"
        ],
        "description": "Problem set filter (e.g. core-75 for Blind 75 focus)."
      },
      "category": {
        "type": "string",
        "description": "Optional category slug to filter recommendations (e.g. 11_graphs)."
      },
      "difficulty": {
        "type": "string",
        "enum": [
          "easy",
          "medium",
          "hard"
        ],
        "description": "Optional difficulty filter."
      }
    }
  }
}

{
  "name": "start_problem",
  "kind": "act",
  "impl": "imperative",
  "description": "Loads the specified algorithm problem into the workspace, switches view to workspace, resets timer, and updates ambient context for AI coaching.",
  "inputSchema": {
    "type": "object",
    "required": [
      "problemId"
    ],
    "properties": {
      "problemId": {
        "type": "string",
        "description": "The unique ID or slug of the problem to start (e.g. \"course-schedule\" or \"two-sum\")."
      }
    }
  }
}

{
  "name": "run_tests",
  "kind": "act",
  "impl": "imperative",
  "description": "Executes code against problem test cases inside the sandboxed Web Worker and returns test assertions, timing, and console logs.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "problemId": {
        "type": "string",
        "description": "Optional problem ID. Defaults to the currently active problem."
      },
      "code": {
        "type": "string",
        "description": "Optional solution code to test. Defaults to the current editor code."
      }
    }
  }
}

{
  "name": "get_hint",
  "kind": "answer",
  "impl": "imperative",
  "description": "Provides progressive Socratic hints (Level 1: Intuition/Pattern, Level 2: Data Structure Strategy, Level 3: Concrete Implementation Step) without revealing complete code.",
  "inputSchema": {
    "type": "object",
    "required": [
      "level"
    ],
    "properties": {
      "problemId": {
        "type": "string",
        "description": "Optional problem ID. Defaults to the currently active problem."
      },
      "level": {
        "type": "integer",
        "minimum": 1,
        "maximum": 3,
        "description": "Hint level: 1 = High-level Intuition, 2 = Data Structure Strategy, 3 = Implementation Guidance."
      }
    }
  }
}

{
  "name": "submit_solution",
  "kind": "transact",
  "impl": "imperative",
  "description": "Evaluates all test cases in sandbox, logs attempt to IndexedDB, advances SM-2 spaced repetition interval, recalculates skill readiness, and produces a performance scorecard.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "problemId": {
        "type": "string",
        "description": "Optional problem ID. Defaults to current active problem."
      },
      "code": {
        "type": "string",
        "description": "Optional solution code. Defaults to current editor code."
      },
      "timeSpentSeconds": {
        "type": "integer",
        "description": "Time spent on this problem in seconds."
      }
    }
  }
}

{
  "name": "get_skill_profile",
  "kind": "answer",
  "impl": "imperative",
  "description": "Returns comprehensive interview readiness metrics, daily streak status, and category-by-category confidence, retention, and speed scores.",
  "inputSchema": {
    "type": "object",
    "properties": {}
  }
}