interview-webmcp.vercel.app
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
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
| Property | Type | Required | Description |
|---|---|---|---|
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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