CaseStudies

Automatic MCP Tool Selection & NLIP

Status: 📋 Planned
Version: v0.1.13
Target Release: November 17, 2025

Overview

Automatic MCP tool selection based on task requirements with dynamic tool refinement during execution, plus NLIP (Natural Language Interaction Protocol) integration for enhanced agent coordination with hierarchy initialization.

Feature Description

Goal

Enable agents to intelligently discover and select the most appropriate MCP tools for their tasks without manual configuration, and improve multi-agent coordination through hierarchical NLIP integration.

Key Components

1. Intelligent Tool Discovery
   • Scan available MCP servers and catalog their capabilities
   • Parse tool descriptions and schemas automatically
   • Build searchable tool index with semantic embeddings
2. Task-to-Tool Mapping
   • Analyze user query to identify required capabilities
   • Rank available tools by relevance and suitability
   • Select optimal tool subset to minimize context overhead
3. Dynamic Tool Refinement
   • Monitor tool usage during execution
   • Add missing tools if needed mid-workflow
   • Remove unused tools to reduce context size
   • Learn from successful tool combinations
4. NLIP Integration
   • Initialize agent hierarchy based on task complexity
   • Enable natural language negotiation between agents
   • Coordinate tool selection across multi-agent teams
   • Support dynamic role assignment

Benefits

• Reduced Configuration: No manual tool selection in config files
• Better Performance: Only load relevant tools, reduce context waste
• Adaptability: Adjust tool set based on actual needs
• Scalability: Handle growing tool ecosystem automatically

Test Strategy

Discovery Tests

• Verify all available MCP servers are cataloged
• Test tool description parsing accuracy
• Validate semantic search returns relevant tools

Selection Tests

• Test tool selection for various query types
• Measure precision/recall of tool recommendations
• Compare manual vs. automatic selection quality

Refinement Tests

• Track tool additions/removals during long sessions
• Verify unused tools are properly pruned
• Test learning from previous successful runs

NLIP Tests

• Validate hierarchy initialization for complex tasks
• Test agent-to-agent coordination with NLIP
• Verify role assignment and task delegation

Validation Criteria

• ✅ 90%+ precision in tool selection
• ✅ Successful execution without manual tool config
• ✅ <20% context overhead vs. optimal manual selection
• ✅ Multi-agent coordination improves with NLIP

Implementation Notes

Architecture:

User Query → Task Analysis → Tool Ranking → Selection
                ↓                              ↓
          Semantic Search ← Tool Index    Load Tools
                                              ↓
                                    Execution + Monitoring
                                              ↓
                                    Dynamic Refinement

NLIP Hierarchy Example:

Coordinator (NLIP)
├── Research Agent (with search tools)
├── Code Agent (with filesystem + execution tools)
└── Analysis Agent (with data processing tools)

Configuration:

auto_tool_selection:
  enabled: true
  max_tools: 10
  refinement: true
  nlip:
    enabled: true
    hierarchy_depth: 3

Related Work

• Universal Code Execution via MCP (v0.0.31)
• MCP Planning Mode (v0.0.29)
• Agent Task Planning (v0.1.7)