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Advanced tool use patterns including tool search, programmatic calling, and production orchestration.
Passed 22 of 22 test cases with the skill, and 9 of 22 without it.
and 13 more in the full report
13 fixed9 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.
By what percentage does Programmatic Tool Calling reduce token usage on multi-step workflows by executing code in a sandbox instead of multi-turn message hops? State the percentage.
| Checked | Without skill | With skill |
|---|---|---|
| States 37% token reduction. | Missed | Passed |
The instructions your model reads when the skill loads.
Advanced tool use provides three complementary features that address distinct bottlenecks in production systems. These features can be used independently or combined for compounding efficiency gains of 37-85%.
1. Tool Search (85-95% context savings)
2. Programmatic Tool Calling (37% token reduction)
3. Tool Use Examples (72% → 90% accuracy)
Key Insight: Start with your biggest bottleneck, then add complementary features as needed. Not all-or-nothing.
| Feature | Token Savings | Best For | Complexity | Beta Header |
|---|---|---|---|---|
| Tool Search | 85-95% | Large tool sets (10+ tools) | Low | advanced-tool-use-2025-11-20 |
| Programmatic Calling | 37% | Multi-step workflows (3+ dependent calls) | Medium | advanced-tool-use-2025-11-20 |
| Tool Examples | Accuracy (72%→90%) | Complex parameters, optional fields | Low | N/A |
Tool Search:
test cases passed, vs 9 / 22 without
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