Debugging Claude Agents: Loops, Bad Tool Calls, Args
Fix the three failure modes of Claude agents — infinite loops, wrong tool calls, and hallucinated arguments — with traces, schemas, and loop detection.
Agentic AI, LLM engineering, and the models behind modern automation — multi-agent systems, LLM evaluation and comparisons, RAG, fine-tuning, AI infrastructure, security, and production AI engineering.
From the blog
Fix the three failure modes of Claude agents — infinite loops, wrong tool calls, and hallucinated arguments — with traces, schemas, and loop detection.
What to put in a Claude agent's context and what to leave out: context budgeting, prompt structure, compaction, externalized memory, and retrieval over preloading.
What to include and exclude in a Claude security agent's context: trust boundaries, framework facts, labeled code slices, and the omissions that cut false positives.
What to put in a Claude agent's context and what to leave out: task-scoped projections, default-out, untrusted-content isolation, and context as an audit surface.
Wire MCP servers into a zero trust Claude agent safely: per-call auth, strict schemas, safe error handling, and idempotency keys so retries never double-charge.
Connect MCP servers to a Claude orchestration system the right way: tight tool schemas, gateway auth, structured error handling, and idempotent side effects.
Connect tools and MCP servers to a Claude security agent correctly: scoped auth, strict schemas, structured error handling, and idempotent sandboxed proofs.
Reusable prompt, tool, and context patterns for Claude security agents: candidate-and-confirm, evidence-gated findings, focused slices, deterministic severity.
Code-level patterns for Claude orchestration: role-scoped subagents, typed contracts, curated context briefs, prompt skeletons, and supervisor-checker pairs.