Tools & Integration · Software component

Tool Selector

Software componentTools & IntegrationOrchestration & Toolsarc:ToolSelector

A software component that prioritizes candidate tools for a query using historical success on similar queries.

Responsibility. Ranks candidate tools by historical success on similar queries.

Also known as: Graph-enhanced tool selection, Strategic Tool Filter, Tool selection mechanism, Learned tool routing model

is invoked bysends data tois configured byreadsreceives data fromis monitored byis evaluated byreadsAgent Controller: is invoked byAgent ControllerReasoning Engine: sends data toReasoning EngineTool Schema: is configured byTool SchemaTool Registry: readsTool RegistryQuery Complexity Classifier: receives data fromQuery Complexity Classif…Tool Usage Analyzer: is monitored byTool Usage AnalyzerTrajectory Scorer: is evaluated byTrajectory ScorerTool Usage History Store: readsTool Usage History Store
Direct neighbourhood (hover for relationship types)

Relationships

is configured by structural

is invoked by dependency

reads dependency

receives data from dynamic

sends data to dynamic

is evaluated by assurance

is monitored by assurance

Design guidance

Quantitative guidance

As stated by the sources; verify before use.

Classification

Patterns
Experience feedback loopQuery-classification-based tool filtering
Quality attributes
Flexibility (ISO/IEC 25010)
Risks mitigated
Hard-coded tool selection rulesSwiss Army knife syndrome (degraded selection with too many tools)

Sources

  1. Ch1.7B: T. Nguyen, "Relational Reasoning with Knowledge Graphs - Hybrid RAG+KG Integration," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 1.7B. ISBN: 9798244538229.
  2. Ch3.4: T. Nguyen, "Tuning Model Parameters for Production Performance," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 3.4. ISBN: 9798244538229.
  3. Ch3.7: T. Nguyen, "Tool Usage Auditing," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 3.7. ISBN: 9798244538229.