Overall, the experience was not good.

It’s likely because it’s newly launched and generally feels immature.

Typical issues include:

1. Not using available agents.
2. Not using available MCP.

Tool calls are infrequent and require manual prompting. As a user, I generally don’t deliberately memorize which agents are available.

More importantly, it impacts efficiency.

• If using DeepSeek V3.2, its relatively short context length (128K) means it doesn’t perform well when there are many tools or MCP connections.
• Plugins often don’t improve the tool usage experience; they can actually degrade it. This is because MCP tools and plugins increase the input token count, forcing the model to process more context. Since the computational complexity of transformers is O(n²), any increase in length has a significant negative impact.

In summary, it’s not recommended for use at this time.