AI Tool-Use Engineering : Function Calling, Tool Routing, Permission Boundaries, Execution Control, and Verification
Language: English
Published by Independently Published Sep 2026, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
US$ 19.94
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Add to basketItem description from seller
Neuware - AI Tool-Use Engineering is a guide to the interface between a language model's reasoning and the systems it can actually affect: function calling, tool routing, permission boundaries, execution control, and verification. This is the layer where a model's decision to act becomes a real action with real consequences. Eleven chapters cover the full tool-use stack: - Tool-using AI architecture: tool catalog design, schemas, routing, and a separated execution layer- Function calling interfaces: typed arguments, interface-level validation, typed outputs, actionable error surfaces- Tool routing and selection: intent mapping, capability boundaries, cost-aware routing, fallback chains- Permission boundaries: scopes, least privilege, execution-layer-only credentials, informative approval gates- Execution control: tool-specific timeouts, layered resource limits, runtime-enforced sandboxing, clean cancellation- Result verification: automatic schema checks, genuinely independent cross-validation, confirmed side effects- Reliable multi-step tool workflows: externally tracked state, explicit dependencies, step-level retry, compensation- Security and abuse resistance: injection defense, misuse detection, exfiltration prevention, execution-layer policy- Testing tool-using systems: deterministic mocks, failure injection, decision-path coverage, regression triggers- Production tool infrastructure: a single tool registry, explicit versioning, decision-inclusive observability>Every section pairs the concept with the trade-off that makes it a real engineering decision, the pitfall teams most often hit, and practical checks. Each chapter closes with a worked scenario. Four appendices cover architectural comparisons, a tool-use maturity model, a failure-mode reference organized by symptom, and common questions. Written for engineers building AI agents, copilots, and any system where a model's decisions translate into real actions.…
Seller Inventory # 9798175815444
- Title
- AI Tool-Use Engineering : Function Calling, Tool Routing, Permission Boundaries, Execution Control, and Verification
- Author
- Yousf Alrukh
- Publisher
- Independently Published Sep 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 13
- 9798175815444
- Item weight
- 118 grams
- Dimensions
- 229x152x4 mm
Eleven chapters cover the full tool-use stack:
• Tool-using AI architecture: tool catalog design, schemas, routing, and a separated execution layer
• Function calling interfaces: typed arguments, interface-level validation, typed outputs, actionable error surfaces
• Tool routing and selection: intent mapping, capability boundaries, cost-aware routing, fallback chains
• Permission boundaries: scopes, least privilege, execution-layer-only credentials, informative approval gates
• Execution control: tool-specific timeouts, layered resource limits, runtime-enforced sandboxing, clean cancellation
• Result verification: automatic schema checks, genuinely independent cross-validation, confirmed side effects
• Reliable multi-step tool workflows: externally tracked state, explicit dependencies, step-level retry, compensation
• Security and abuse resistance: injection defense, misuse detection, exfiltration prevention, execution-layer policy
• Testing tool-using systems: deterministic mocks, failure injection, decision-path coverage, regression triggers
• Production tool infrastructure: a single tool registry, explicit versioning, decision-inclusive observability
• Cost and latency management: per-call attribution, latency budgets, volatility-aware caching, batching
Every section pairs the concept with the trade-off that makes it a real engineering decision, the pitfall teams most often hit, and practical checks. Each chapter closes with a worked scenario.
Four appendices cover architectural comparisons, a tool-use maturity model, a failure-mode reference organized by symptom, and common questions.
Written for engineers building AI agents, copilots, and any system where a model's decisions translate into real actions.
"Synopsis" may belong to another edition of this title.
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