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interview-webmcp.vercel.app

interview-webmcp.vercel.app

live Unverified (seed import) Health & Education 6 tools imperative implementation

An agent-native mock interview app. Ask ChatGPT to start an interview, then answer on the page.

First seen 2026-11-05 · Last seen 2026-11-05 · Source: webmcp.com

Answer 1 · Act 5 · Transact 0 · Score: Not yet scored

Tool inspector

start_interview

act imperative

Begin the mock interview. YOU (the AI) must write ALL the interview questions yourself, right now, in this single call — there is no built-in question bank. Pass them as the `questions` array, each genuinely tailored to the candidate's profile (use their exact field/position/skills/experience — vary the type across behavioral, technical, situational, system_design, culture_fit). After this call, IMMEDIATELY call `run_interview` (no arguments) — that ONE call runs the entire ask/wait/evaluate loop for every question and blocks until the candidate finishes, returning the full transcript and final report at the end. Do not try to ask questions one at a time yourself.

Input schema

PropertyTypeRequiredDescription
difficulty string no —
questions array yes ALL the questions for this interview, in order, written by you and tailored to the candidate's profile. Vary the `type` across the list.
Raw JSON schema
{
  "type": "object",
  "properties": {
    "difficulty": {
      "type": "string",
      "enum": [
        "junior",
        "mid",
        "senior"
      ]
    },
    "questions": {
      "type": "array",
      "minItems": 3,
      "maxItems": 20,
      "description": "ALL the questions for this interview, in order, written by you and tailored to the candidate's profile. Vary the `type` across the list.",
      "items": {
        "type": "object",
        "properties": {
          "text": {
            "type": "string",
            "description": "The exact question text."
          },
          "type": {
            "type": "string",
            "enum": [
              "behavioral",
              "technical",
              "system_design",
              "situational",
              "culture_fit"
            ]
          },
          "rubricPoints": {
            "type": "array",
            "items": {
              "type": "string"
            },
            "description": "2-4 bullet points describing what a strong answer covers."
          },
          "hint": {
            "type": "string",
            "description": "Optional short on-screen hint for the candidate."
          }
        },
        "required": [
          "text",
          "type"
        ],
        "additionalProperties": false
      }
    }
  },
  "required": [
    "questions"
  ],
  "additionalProperties": false
}

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