Title: "Claude's Three Tool Superpowers"
Subtitle: "Discover, Execute, Learn"
Michi the calico cat confidently juggling three glowing magical orbs representing the three new features: Tool Search (magnifying glass), Programmatic Tool Calling (code block), and Tool Use Examples (notebook with checkmarks).
Cover
Page 1: The Problem
Theme: Context Overload
When you connect multiple MCP servers, tool definitions can consume 100K+ tokens before the conversation even starts. This leads to:
Wrong tool selection
Slow inference (latency)
Malformed API calls
Michi is overwhelmed by an avalanche of 100+ tool scrolls, with a token counter showing "134K TOKENS! 💸"
Page 1: The Problem
Page 2: Superpower #1 - Tool Search
Theme: On-Demand Discovery
Before
After
All 72K tokens loaded upfront
Only 3K tokens loaded on-demand
Confused, overwhelmed
Happy, efficient
Key Metrics:
85% fewer tokens
Accuracy improved: 49% → 74%
Michi uses a magnifying glass to search for exactly the tools needed, instead of loading everything.
Page 2: Tool Search
Page 3: Superpower #2 - Programmatic Tool Calling
Theme: Code-Based Orchestration
Traditional approach: 20 API calls = 20 inference passes, all results pile into context.
With PTC: Claude writes Python orchestration code, processes data in sandbox, only final result enters context.
Key Metrics:
37% fewer tokens
19 fewer inference passes
2000 expense records → 3 names in output
Michi writes Python code on a tablet, then receives just one clean result slip while 2000 receipts go to "processed" bin.
Page 3: Programmatic Tool Calling
Page 4: Superpower #3 - Tool Use Examples
Theme: Learning by Example
JSON Schema defines WHAT is structurally valid, but can't express:
Date format conventions
ID patterns (USR-12345 vs UUID)
When to include optional parameters
Tool Use Examples show HOW to use the tool correctly with 1-5 realistic examples.
Key Metrics:
Accuracy improved: 72% → 90% on complex parameters
[Image pending generation]
Page 5: Putting It Together
Theme: Best Practices
Layer strategically - Start with your biggest bottleneck:
Context bloat → Tool Search
Large intermediate results → PTC
Parameter errors → Examples
Quick tips:
🔍 Keep 3-5 core tools always loaded
💻 Document return formats for PTC
📝 1-5 examples per tool
Call to Action: Try it at anthropic.com/engineering/advanced-tool-use