Comic: Claude's Three Tool Superpowers

Source Article: Introducing advanced tool use on the Claude Developer Platformarrow-up-right Published: November 24, 2025 | Company: Anthropic


Page 0: Cover

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

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

  1. Layer strategically - Start with your biggest bottleneck:

    • Context bloat → Tool Search

    • Large intermediate results → PTC

    • Parameter errors → Examples

  2. Quick tips:

    • 🔍 Keep 3-5 core tools always loaded

    • 💻 Document return formats for PTC

    • 📝 1-5 examples per tool

  3. Call to Action: Try it at anthropic.com/engineering/advanced-tool-use

[Image pending generation]


Character Reference

Michi (Protagonist)

Attribute
Description

Species

Calico cat (cream, orange, gray patches)

Accessory

Round glasses, blue bow/ribbon

Expression Arc

Overwhelmed → Curious → Triumphant

Visual Style: michi

  • Warm cream backgrounds (#FFF8E7)

  • Soft hand-drawn lines, manga aesthetic

  • Speech bubbles with rounded corners

  • Stats bars with clean modern design

  • Studio Ghibli-inspired warmth

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