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koheiyamashita.github.io

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WebMCP Article Reader Sample
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    list_articlesAnswer

    Return article list with title, summary, url and tags only. Does not return full article body.

    View tool JSON
    {
      "name": "list_articles",
      "kind": "answer",
      "impl": "imperative",
      "description": "Return article list with title, summary, url and tags only. Does not return full article body.",
      "inputSchema": {
        "type": "object",
        "properties": {}
      },
      "page": "/webmcp-article-reader-sample/"
    }
    load_article_for_llmAction

    Load one selected article as Markdown so the user can read it conversationally with an LLM. Japanese: 記事を読む、記事本文を取得する。

    View tool JSON
    {
      "name": "load_article_for_llm",
      "kind": "act",
      "impl": "imperative",
      "description": "Load one selected article as Markdown so the user can read it conversationally with an LLM. Japanese: 記事を読む、記事本文を取得する。",
      "inputSchema": {
        "type": "object",
        "properties": {
          "articleId": {
            "type": "string",
            "description": "The article id to load. Use list_articles first if unknown."
          }
        },
        "required": [
          "articleId"
        ]
      },
      "page": "/webmcp-article-reader-sample/"
    }
    read_current_articleAnswer

    Read the currently selected article. Use this when the user says 記事を読む or LLMと読む.

    View tool JSON
    {
      "name": "read_current_article",
      "kind": "answer",
      "impl": "imperative",
      "description": "Read the currently selected article. Use this when the user says 記事を読む or LLMと読む.",
      "inputSchema": {
        "type": "object",
        "properties": {}
      },
      "page": "/webmcp-article-reader-sample/"
    }
    get_page_contentAnswer

    Return the current page content and the selected article body for an LLM reader.

    View tool JSON
    {
      "name": "get_page_content",
      "kind": "answer",
      "impl": "imperative",
      "description": "Return the current page content and the selected article body for an LLM reader.",
      "inputSchema": {
        "type": "object",
        "properties": {}
      },
      "page": "/webmcp-article-reader-sample/"
    }