Clarification on the strategic advantages of using a CLI for B2B platform integration compared to MCP or direct API calls (Skills).

One important advantage of a CLI is progressive context disclosure. While MCP, Skills, or typical HTTP calls often require sending a relatively complete context in each request, a CLI lets you incrementally reveal only what’s necessary at each step. This not only improves control over execution flow, but also significantly reduces token usage and overhead in LLM-driven workflows.

> One important advantage of a CLI is progressive context disclosure. While MCP, Skills, or typical HTTP calls often require sending a relatively complete context in each request, a CLI lets you incrementally reveal only what’s necessary at each step. This not only improves control over execution flow, but also significantly reduces token usage and overhead in LLM-driven workflows. Is the incremental disclosure feature you mentioned the same as the incremental disclosure feature of Skills?

> > One important advantage of a CLI is progressive context disclosure. While MCP, Skills, or typical HTTP calls often require sending a relatively complete context in each request, a CLI lets you incrementally reveal only what’s necessary at each step. This not only improves control over execution flow, but also significantly reduces token usage and overhead in LLM-driven workflows. > > Is the incremental disclosure feature you mentioned the same as the incremental disclosure feature of Skills? Not exactly. With MCP/Skills, every time the LLM connects, it still needs to reason about whether to call a tool and how to call it. That decision-making process itself introduces extra context and token overhead. A CLI, on the other hand, doesn’t require that upfront reasoning loop. It exposes capabilities progressively — for example via --help or command-specific introspection — only when they’re actually needed. So you can achieve a similar outcome, but with much tighter control over co...

> > > One important advantage of a CLI is progressive context disclosure. While MCP, Skills, or typical HTTP calls often require sending a relatively complete context in each request, a CLI lets you incrementally reveal only what’s necessary at each step. This not only improves control over execution flow, but also significantly reduces token usage and overhead in LLM-driven workflows. > > > > > > Is the incremental disclosure feature you mentioned the same as the incremental disclosure feature of Skills? > > Not exactly. > > With MCP/Skills, every time the LLM connects, it still needs to reason about whether to call a tool and how to call it. That decision-making process itself introduces extra context and token overhead. > > A CLI, on the other hand, doesn’t require that upfront reasoning loop. It exposes capabilities progressively — for example via --help or command-specific introspection — only when they’re actually needed. > > So you can achieve a similar outcome, but with m...