Debugging MCP Agents: Loops, Bad Tool Calls, Fixes
Debug Model Context Protocol agents on Claude: fix loops, wrong tool calls, and hallucinated arguments with traces, loop guards, and tight schemas.
Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
Latest analysis
Debug Model Context Protocol agents on Claude: fix loops, wrong tool calls, and hallucinated arguments with traces, loop guards, and tight schemas.
Design prompt and context for MCP-powered Claude agents — curate tools, retrieve just-in-time, compact history, and keep context lean for sharper reasoning.
Production MCP wiring for Claude — OAuth and API keys, schema validation, structured error handling, idempotency keys, and safe retries that hold up in real use.
Reusable MCP patterns for Claude agents — intent-shaped tools, tight schemas, lean outputs, idempotent writes, and curated context that scale reliably.
A hands-on walkthrough to build an MCP server and connect it to Claude Code — from scaffold and tool registration to your first real tool call.
How Model Context Protocol works internally — hosts, clients, servers, transports, and the JSON-RPC handshake that connects Claude to external tools.
Master the three approaches to document-level deduplication — exact hashing, MinHash with LSH, and semantic embeddings — to improve LLM training data quality.
Explore how agentic AI is reshaping journalism with automated news generation, real-time fact-checking, data-driven reporting, and editorial assistance while raising critical questions about media integrity.
Learn how AI voice agents help dental businesses automate appointment booking and more. Covers implementation, ROI, and real-world results.
Get notified when we publish new articles on AI voice agents, automation, and industry insights. No spam, unsubscribe anytime.
Try our live demo -- no signup required. Talk to an AI voice agent right now.
© 2026 CallSphere Inc. All rights reserved.
Made within San Francisco