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ai deep-dive 跟成熟 coding agent 學設計

Learning Design from Mature Coding Agents (18): Toolset Design Philosophy — Drawing the Tool Surface Boundary

Looplane's core surface has grown from seven tools to nine with a read-only `tool_program` and rollback-capable `tool_transaction`; search prefers ripgrep and arbitrary shell remains absent. Native MCP tools join only from allowlisted servers and default to execute approval without trusted read-only metadata.

#coding-agent#tool-design#looplane#function-calling#claude-code
ai deep-dive

Assembling LLM Agent Skills / Tools / Code Interpreter for Real: A Paper Reading Map

The hard part of LLM agents is not building function calling, skills, code interpreter, and document tools individually -- it is assembling them into a system that selects the right tool, writes code when needed, decomposes tasks, verifies results, and resists prompt injection. This post organizes the key papers into six engineering decisions: function calling reliability, tool/skill selection, code-as-action, multi-step planning, skill systems, and safety plus document generation.

#llm#agents#tool-use#skills#code-interpreter#function-calling#paper-review