Google has introduced two complementary tools to prevent coding agents from generating outdated Gemini API code caused by training data cutoffs. The Gemini API Docs MCP leverages the Model Context Protocol to provide agents with real-time access to the most current documentation, SDKs, and model configurations. To complement this, the Gemini API Developer Skills offer best-practice instructions and patterns to guide agents toward modern SDK usage. When combined, these tools significantly boost performance, achieving a 96.3% pass rate on evaluation sets and reducing token consumption by 63% per correct answer compared to standard prompting.
This repository provides a Python script to fetch and summarize research papers from arXiv using the free Gemini API. It includes features for summarizing a single paper or multiple papers, easy setup, and automatic daily extraction and summarization based on specific keywords. The tool is designed to help researchers, students, and enthusiasts quickly extract key insights from arXiv papers without manually reading through lengthy documents.
