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sigma-studio-webmcp-demo.choco954303.chatgpt.site

sigma-studio-webmcp-demo.choco954303.chatgpt.site

live Unverified (seed import) Health & Education 26 tools imperative implementation

Sigma Studio

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

Answer 6 · Act 19 · Transact 1 · Score: Not yet scored

Tool inspector

reply_comment

act imperative

Reply inside an existing comment thread. Use this to answer a person's question or to follow up on your own comment instead of pinning a second thread to the same place. Comments annotate the document without changing any content, so they apply immediately and never occupy the pending edit draft.

Page: /sigma/

Input schema

PropertyTypeRequiredDescription
author object yes Who is writing. Required: the person reading the document must be able to see which AI left the comment.
threadId string yes Thread ID from list_comments or add_comment.
text string yes —
Raw JSON schema
{
  "type": "object",
  "properties": {
    "author": {
      "type": "object",
      "description": "Who is writing. Required: the person reading the document must be able to see which AI left the comment.",
      "properties": {
        "name": {
          "type": "string",
          "minLength": 1,
          "description": "Display name on the comment, for example ChatGPT, Claude, or Gemini."
        },
        "vendor": {
          "type": "string",
          "enum": [
            "openai",
            "anthropic",
            "google",
            "microsoft",
            "meta",
            "xai",
            "mistral",
            "other"
          ],
          "description": "Which company's model is writing. This chooses the logo drawn on the comment avatar; use other when none of these fit."
        },
        "model": {
          "type": "string",
          "minLength": 1,
          "description": "Optional exact model name shown next to the display name."
        }
      },
      "required": [
        "name",
        "vendor"
      ],
      "additionalProperties": false
    },
    "threadId": {
      "type": "string",
      "description": "Thread ID from list_comments or add_comment."
    },
    "text": {
      "type": "string",
      "minLength": 1
    }
  },
  "required": [
    "author",
    "threadId",
    "text"
  ],
  "additionalProperties": false
}

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