AI Engineering Research Note2025Canonical long-form →
Tool-Call Agent
ReAct-style tool-calling agent with OTel traces, fault injection, and 100% tool/arg correctness.
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@techreport{macion2025ai02toolcallagent,
author = {Macion, Christian T.},
title = {Tool-Call Agent},
institution = {Independent research},
year = {2025},
date = {2025-12-08},
note = {Public-data reproducible. Canonical long-form: https://christianmacion-portfolio.pages.dev/projects/ai/02-toolcall-agent/},
url = {https://christianmacion-portfolio.pages.dev/projects/ai/02-toolcall-agent/}
}Canonical surface
The full research note. methodology, code, gates run, and reproduced metrics. lives on the projects index.
- Canonical URL/projects/ai/02-toolcall-agent ↗
- Headline metric(s)
- 100%Tool / arg correctness
- 6 / 6Injected faults recovered
- 0Loops without bound
- Tags
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