| ▲ | normie3000 4 days ago | |
> The model is aware of how these tools work, it is more token-efficient and it is generally much more successful at performing those actions. Interesting! This didn't seem to be the case in the OP's examples - for instance using a list_files tool and then checking if the json result included README vs bash [ -f README ] | ||
| ▲ | the_mitsuhiko 4 days ago | parent [-] | |
> Interesting! This didn't seem to be the case in the OP's examples - for instance using a list_files tool and then checking if the json result included README vs bash [ -f README ] There is no training on a tool with that name. But it likely also doesn't need training because the parameter is just a path and that's a pretty basic tool. On the other hand to know how to execute a bash command, you need to know bash. Bash is a known tool to the Claude models [1] and so is text editing [2]. You're supposed to reference those in the tool listing but at least from my testing, the moment you call a tool "bash", Claude makes plenty of assumptions about what the point of this thing is. [1]: https://docs.anthropic.com/en/docs/agents-and-tools/tool-use... [2]: https://docs.anthropic.com/en/docs/agents-and-tools/tool-use... | ||