The author migrates a Spring AI Agent with 30+ business tools to Spring AI 2.0's Tool Search, which uses Lucene indexing to let the model search for relevant tools before calling them, reducing context overload and improving selection accuracy, while sharing best practices for tool descriptions and safe write-operation handling.
The article explains Claude Code's Model Context Protocol (MCP), how to connect external servers, the hidden costs and trust implications, the tool‑search lazy‑loading mechanism that prevents context overload, and the three security risks you must manage, all illustrated with real‑world examples and a four‑step interview answer.
The article explains how Spring AI’s recursive advisors enable dynamic tool discovery, replacing the traditional all‑tools‑in‑prompt approach, thereby reducing token consumption by 34%‑64% while preserving access to hundreds of tools, and provides benchmark data, code examples, and configurable search strategies.
OpenAI's newly released GPT-5.4 integrates reasoning, coding, computer use, and agent tool calls, achieving a 75% success rate on OSWorld-Verified tasks—surpassing the human baseline—while its Tool Search feature reduces agent token consumption by 47% and supports up to 1 million tokens for long‑running workflows.
OpenAI's GPT-5.4 launch introduces three model tiers, a 1 million‑token context window, native computer‑use abilities, higher factual accuracy and a new Tool Search feature, reshaping enterprise AI capabilities and intensifying competition with Anthropic and Google.
Claude Code 2.1.69 introduces a lazy‑loaded Tool Search that defers loading of Model Context Protocol (MCP) tools until needed, dropping system‑tool context from around 10% to zero, dramatically reducing token consumption and improving tool selection accuracy.
Claude Code introduces MCP Tool Search, a lazy‑loading mechanism that dynamically loads only needed tools, cutting token usage by over 67,000 tokens in large MCP setups, preventing context bloat, improving performance, and offering developers regex and BM25 search options with defer_loading support.
Anthropic’s recent release introduces three advanced capabilities—Tool Search, Programmatic Tool Calling, and Tool Use Examples—that reduce token consumption, avoid context pollution, and improve tool‑calling accuracy for AI agents, with detailed benchmarks, code samples, and guidance on when each feature is most effective.
Claude Opus 4.5, now on Amazon Bedrock, delivers flagship‑level AI capabilities for coding, agent development, and office automation at roughly one‑third the cost of its predecessor, outperforming Sonnet 4.5 and Opus 4.1 on benchmarks such as SWE‑bench (80.9%) and MMMU (80.7%), while offering tool‑search, tool‑example support, and flexible effort settings for production‑grade agents.
