AI Engineering Research Note2025Canonical long-form →

Tool-Call Agent

ReAct-style tool-calling agent with OTel traces, fault injection, and 100% tool/arg correctness.

AI EngineeringPublished Mon Dec 08 2025 00:00:00 GMT+0000 (Coordinated Universal Time)

EVAL-FIRST31 GATESNDA-CLEANPUBLIC DATAALPHASIGNAL > NOISEREPRODUCIBLENOTEBOOK-COMMITTEDCITABLEBIBTEX + DOI

Cite this research note

A copy-pasteable BibTeX entry. The canonical long-form with figures, code, and full methodology lives at the URL in the entry. please link there, not here, when citing in a paper or a thread.

@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
    • agents
    • react
    • function-calling
    • opentelemetry
    • fault-injection

Read the full research note.

The canonical long-form on /projects walks through the methodology, evaluation gates, code, and reproducibility manifest.