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The following table covers the most common tools and scalability anti-patterns that affect agent performance and reliability.
⭐️ Most common anti-patterns, 🫆 Detectable
Anti-patternProblemImpactFix
Tool soupToo many tools (10+ or more) 🫆Accuracy decreasesCurate tools
⭐️ Tool data overload (The firehose effect) 🫆Too much dataContext exhaustionFilter early
⭐️ Agent-washingOveruse agents 🫆Unnecessary reasoning costUse tools/workflows
Blind trust in unverified components 🫆Unaudited MCPSecurity riskAudit/sandbox
⭐️ Happy path engineering 🫆No failure handlingMuch lower successTrain on failure
Multi-agent chaos 🫆No coordinationDuplicationTightly bounded agent per use case
⭐️ Responsiveness afterthought 🫆No latency focusUser drop-offSet budgets and design with scale in mind
Unbounded execution cost 🫆Always large modelsHigh costOptimize models and tool usage
Demo-grade agent in productionNo real testingCannot handle real world situationsLoad test, Scale test, design with failure in mind
Foundational architecture considerations Knowledge and document processing considerations