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When streaming, the client tries to detect whether the model is producing a tool call vs. a regular text response by watching for the tool-call marker. Sometimes the marker arrives split across two tokens and the client's regex misses it, rendering a broken UI state.
An MCP server (stdio transport) works flawlessly when configured in Claude Desktop but times out or returns nothing when invoked from a custom agent using @anthropic-ai/sdk's tool_use interface. No error logs on either side. The server process starts, but no tool call ever arrives.
A Claude Sonnet 4.5 agent loops: calls search_api("foo") → gets 429 rate limit error → calls search_api("foo") again → 429 → repeats 6-8 times until the outer loop kills it. Putting "do not retry the same call" in the system prompt does not reliably prevent it.
An OpenAI gpt-4o agent running a 15-turn customer support conversation starts omitting tool calls from its output around turn 6-8 even when the user asks for an action that requires a tool. The assistant produces a plausible text answer instead. Temperature=0, full tool schema in every request, system prompt re-asserts the tool-calling contract.