Conciseness

The body is mostly efficient and fact-dense (46.9% token reduction, 3,857/40,258/540-550 token figures, 200-token proxy tool) and assumes Claude's competence, but the KV-cache 'append to end and keep in place' rule is repeated across 核心原则, §4, and 常见陷阱, and the reference-book analogy in §5 explains an idea Claude can grasp unaided. This fits 'mostly efficient but could be tightened' rather than the minor-trim level.

Actionability

Guidance is mostly concrete and executable in design terms: a literal `<tool_request>` example block, named baseline tools (web_search, code_interpreter, discover_tools), 3-5 candidate counts, precisely named API mechanisms (tool_search, defer_loading, tool_reference) with their constraints, and run commands (`python demo.py --offline`, `demo_comparison.py --offline`). The gaps — no how-to for the offline-built, incrementally-updated embedding index, and companion scripts not present in the bundle — keep it below fully executable.

Workflow Clarity

The core five-step progressive-loading flow is clearly sequenced (索引 → 声明需求 → 语义匹配 → 注入 schema → 调用) with an explicit no-match feedback loop ("明确返回'未找到'，让 Agent 改写需求重试、用基础工具手工实现，或创造新工具"). It is not a 5 because supporting steps like embedding-index construction and incremental updating are asserted rather than specified, leaving minor checkpoint gaps.

Progressive Disclosure

Section organization is good and references are clearly signaled (dedicated 配套代码 and 深度阅读 sections), but the bundle contains no files at all — the referenced paths `chapter4/active-tool-discovery/`, `chapter4/active-tool-selection/`, and `book/chapter4.md` do not resolve, so the advertised commands cannot be followed. Per the guideline to score against the actual bundle structure, dangling one-level references and inline-carried detail place this at 'some structure but could be better organized'.

Specificity

The description enumerates multiple concrete capabilities — "设计工具发现与渐进式披露机制、实现 discover_tools 元工具与两层语义路由、选择索引式/检索式/主动发现/Skills 方案、处理动态加载破坏 KV Cache 的问题、评估 token 成本与工具选择准确率" — giving comprehensive, specific coverage of the skill's actions in third-person voice.

Completeness

It explicitly answers both questions: what it provides ("设计…机制、实现…元工具与两层语义路由…含渐进式加载五步流程、工具数量阈值与关键实验数据") and when to use it via explicit trigger clauses ("Agent 工具数量变多、上下文被工具定义占满时使用" and "评估 token 成本与工具选择准确率时查阅"). This matches the anchor where both what and when are clearly answered with concrete trigger phrases, and the 'Use when' guideline is satisfied rather than capped.

Trigger Term Quality

Natural phrases users would say are present ("工具数量变多", "上下文被工具定义占满", "KV Cache", "token 成本", "工具选择准确率"), but a few common variations are missing — notably "MCP"/"MCP 服务器" (central to the topic), "Prompt Cache", and "工具太多/上百个工具". Good coverage, not comprehensive, so it sits at the level below the synonym-complete anchor.

Distinctiveness Conflict Risk

The niche is distinct — tool-discovery and progressive-disclosure architecture for large tool sets — with triggers (KV Cache breakage from dynamic loading, discover_tools, tool-count thresholds) unlikely to fire for unrelated skills. It is not the level-4 anchor because no meaningful overlap with a closely related skill is apparent from the text.