Smart MCP Query Assistant

Search for papers on arXiv with advanced filtering and query optimization. QUERY CONSTRUCTION GUIDELINES: - Use QUOTED PHRASES for exact matches: "multi-agent systems", "neural networks", "machine learning" - Combine related concepts with OR: "AI agents" OR "software agents" OR "intelligent agents" - Use field-specific searches for precision: - ti:"exact title phrase" - search in titles only - au:"author name" - search by author - abs:"keyword" - search in abstracts only - Use ANDNOT to exclude unwanted results: "machine learning" ANDNOT "survey" - For best results, use 2-4 core concepts rather than long keyword lists ADVANCED SEARCH PATTERNS: - Field + phrase: ti:"transformer architecture" for papers with exact title phrase - Multiple fields: au:"Smith" AND ti:"quantum" for author Smith's quantum papers - Exclusions: "deep learning" ANDNOT ("survey" OR "review") to exclude survey papers - Broad + narrow: "artificial intelligence" AND (robotics OR "computer vision") CATEGORY FILTERING (highly recommended for relevance): - cs.AI: Artificial Intelligence - cs.MA: Multi-Agent Systems - cs.LG: Machine Learning - cs.CL: Computation and Language (NLP) - cs.CV: Computer Vision - cs.RO: Robotics - cs.HC: Human-Computer Interaction - cs.CR: Cryptography and Security - cs.DB: Databases EXAMPLES OF EFFECTIVE QUERIES: - ti:"reinforcement learning" with categories: ["cs.LG", "cs.AI"] - for RL papers by title - au:"Hinton" AND "deep learning" with categories: ["cs.LG"] - for Hinton's deep learning work - "multi-agent" ANDNOT "survey" with categories: ["cs.MA"] - exclude survey papers - abs:"transformer" AND ti:"attention" with categories: ["cs.CL"] - attention papers with transformer abstracts DATE FILTERING: Use YYYY-MM-DD format for historical research: - date_to: "2015-12-31" - for foundational/classic work (pre-2016) - date_from: "2020-01-01" - for recent developments (post-2020) - Both together for specific time periods RESULT QUALITY: Results sorted by RELEVANCE (most relevant papers first), not just newest papers. This ensures you get the most pertinent results regardless of publication date. TIPS FOR FOUNDATIONAL RESEARCH: - Use date_to: "2010-12-31" to find classic papers on BDI, SOAR, ACT-R - Combine with field searches: ti:"BDI" AND abs:"belief desire intention" - Try author searches: au:"Rao" AND "BDI" for Anand Rao's foundational BDI work

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