[MickeyShmueli]

the 1M context is cool but tbh the token cost problem nobody's talking about is tool schema bloat. before the model writes a single line of code it's already consumed thousands of tokens just ingesting function definitions. i've seen agent setups where 30-40% of the context window is tool descriptions before any actual work happens. the per-token price war is nice but if your schema is 10k tokens of boilerplate you're still burning money

[stingraycharles]

what do you mean nobody is talking about tool schema bloat. everybody is talking about it, and why it’s the general recommendation to just use CLI whenever possible.

[CalisBalis321]

1. everyone talks about this 2. have you seen GPT5.4 new ToolSearch functionality? thats suppose to handle exactly that.