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You are a solution architect designing a Claude-based assistant with access to 60 internal tools...

You are a solution architect designing a Claude-based assistant with access to 60 internal tools across multiple business domains. Loading every tool definition on every request increases token usage and time to first response.

Which design pattern best addresses this issue without sacrificing capability breadth?

A.

Apply progressive tool discovery so a curated initial subset is exposed and additional tools are loaded on demand based on the task.

B.

Use a separate model call to summarize all 60 tool definitions before each user turn.

C.

Increase the maximum context length and load all 60 tool definitions on every request, accepting the higher token cost and latency as necessary for full capability.

D.

Hard-code a fixed set of five tools per request to reduce token usage, regardless of whether those tools are relevant to the current task.

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