save_topic_explanation

Generate and save detailed explanations for software-related queries using official documentation, powered by Vertex AI Gemini models. Input topic, query, and output path for results.

Instructions

Provides a detailed explanation for a query about a specific software topic using official documentation found via web search and saves the result to a file. Uses the configured Vertex AI model (gemini-2.5-pro-exp-03-25). Requires 'topic', 'query', and 'output_path'.

Input Schema

Name	Required	Description
`output_path`	Yes	The relative path where the generated explanation should be saved (e.g., 'explanations/react-router-hooks.md').
`query`	Yes	The specific question to answer based on the documentation.
`topic`	Yes	The software/library/framework topic (e.g., 'React Router', 'Python requests').

Input Schema (JSON Schema)

{
  "$schema": "http://json-schema.org/draft-07/schema#",
  "additionalProperties": false,
  "properties": {
    "output_path": {
      "description": "The relative path where the generated explanation should be saved (e.g., 'explanations/react-router-hooks.md').",
      "type": "string"
    },
    "query": {
      "description": "The specific question to answer based on the documentation.",
      "type": "string"
    },
    "topic": {
      "description": "The software/library/framework topic (e.g., 'React Router', 'Python requests').",
      "type": "string"
    }
  },
  "required": [
    "topic",
    "query",
    "output_path"
  ],
  "type": "object"
}

Vertex AI MCP Server

save_topic_explanation

Instructions

Input Schema

Input Schema (JSON Schema)

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