Doing Less with More: A First-Principles Exploration of the Suitability of Agentic Computing over Alternative Architectural Choices
A new arXiv study compares seven architectural approaches for evaluating 1,000 arithmetic expressions that require correct operator precedence. Deterministic methods such as native function calls, REST, SOAP and the Model Context Protocol (MCP) achieve 100% accuracy with negligible latency.
Key points
- Agentic systems using local LLMs with MCP tools reached 99.9% accuracy on 1,000 arithmetic expressions.
- Traditional methods (native function, REST, SOAP, MCP) achieved 100% accuracy with negligible latency.
The authors conclude that LLM‑based approaches are poorly suited for exact arithmetic and recommend selecting architectures based on required accuracy and throughput.
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