Function getCreateNotebookPrompt

packages/mcp/src/prompts.ts:179–224

(args: Record<string, string> | undefined)

}

function getCreateNotebookPrompt(args: Record<string, string> | undefined): GetPromptResult {
  const purpose = args?.purpose || 'data analysis'
  const dataSource = args?.data_source || 'CSV file'

  return {
    description: `Template for creating a ${purpose} notebook`,
    messages: [
      {
        role: 'user',
        content: {
          type: 'text',
          text: `Create a Deepnote notebook for: ${purpose}

Data source: ${dataSource}

Use available notebook editing tools with these guidelines:
- Start with \`${TOOL_NAMES.create}\` to create the project/notebook shell
- Use \`${TOOL_NAMES.addBlock}\` to incrementally add analysis blocks
- Keep sections small and run often with \`${TOOL_NAMES.run}\`

Example tool call:
{
  "name": "${TOOL_NAMES.create}",
  "arguments": {
    "projectName": "${purpose}",
    "outputPath": "notebook.deepnote",
    "notebooks": [
      {
        "name": "Notebook 1",
        "blocks": [
          { "type": "text-cell-h1", "content": "${purpose}" },
          { "type": "markdown", "content": "Data source: ${dataSource}" }
        ]
      }
    ]
  }
}

After creating, continue with \`${TOOL_NAMES.addBlock}\` and \`${TOOL_NAMES.editBlock}\` to add:
- Interactive inputs for configurable parameters
- Better documentation between code sections`,
        },
      },
    ],
  }
}

function getConvertAndEnhancePrompt(args: Record<string, string> | undefined): GetPromptResult {
  const sourcePath = args?.source_path || 'notebook.ipynb'