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88 lines
3.6 KiB
Markdown
88 lines
3.6 KiB
Markdown
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---
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name: select-tool
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description: "Intelligent MCP tool selection based on complexity scoring and operation analysis"
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category: special
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complexity: high
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mcp-servers: [serena, morphllm]
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personas: []
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---
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# /sc:select-tool - Intelligent MCP Tool Selection
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## Triggers
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- Operations requiring optimal MCP tool selection between Serena and Morphllm
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- Meta-system decisions needing complexity analysis and capability matching
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- Tool routing decisions requiring performance vs accuracy trade-offs
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- Operations benefiting from intelligent tool capability assessment
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## Usage
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```
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/sc:select-tool [operation] [--analyze] [--explain]
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```
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## Behavioral Flow
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1. **Parse**: Analyze operation type, scope, file count, and complexity indicators
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2. **Score**: Apply multi-dimensional complexity scoring across various operation factors
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3. **Match**: Compare operation requirements against Serena and Morphllm capabilities
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4. **Select**: Choose optimal tool based on scoring matrix and performance requirements
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5. **Validate**: Verify selection accuracy and provide confidence metrics
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Key behaviors:
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- Complexity scoring based on file count, operation type, language, and framework requirements
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- Performance assessment evaluating speed vs accuracy trade-offs for optimal selection
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- Decision logic matrix with direct mappings and threshold-based routing rules
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- Tool capability matching for Serena (semantic operations) vs Morphllm (pattern operations)
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## MCP Integration
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- **Serena MCP**: Optimal for semantic operations, LSP functionality, symbol navigation, and project context
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- **Morphllm MCP**: Optimal for pattern-based edits, bulk transformations, and speed-critical operations
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- **Decision Matrix**: Intelligent routing based on complexity scoring and operation characteristics
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## Tool Coordination
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- **get_current_config**: System configuration analysis for tool capability assessment
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- **execute_sketched_edit**: Operation testing and validation for selection accuracy
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- **Read/Grep**: Operation context analysis and complexity factor identification
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- **Integration**: Automatic selection logic used by refactor, edit, implement, and improve commands
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## Key Patterns
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- **Direct Mapping**: Symbol operations → Serena, Pattern edits → Morphllm, Memory operations → Serena
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- **Complexity Thresholds**: Score >0.6 → Serena, Score <0.4 → Morphllm, 0.4-0.6 → Feature-based
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- **Performance Trade-offs**: Speed requirements → Morphllm, Accuracy requirements → Serena
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- **Fallback Strategy**: Serena → Morphllm → Native tools degradation chain
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## Examples
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### Complex Refactoring Operation
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```
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/sc:select-tool "rename function across 10 files" --analyze
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# Analysis: High complexity (multi-file, symbol operations)
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# Selection: Serena MCP (LSP capabilities, semantic understanding)
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```
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### Pattern-Based Bulk Edit
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```
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/sc:select-tool "update console.log to logger.info across project" --explain
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# Analysis: Pattern-based transformation, speed priority
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# Selection: Morphllm MCP (pattern matching, bulk operations)
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```
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### Memory Management Operation
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```
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/sc:select-tool "save project context and discoveries"
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# Direct mapping: Memory operations → Serena MCP
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# Rationale: Project context and cross-session persistence
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```
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## Boundaries
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**Will:**
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- Analyze operations and provide optimal tool selection between Serena and Morphllm
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- Apply complexity scoring based on file count, operation type, and requirements
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- Provide sub-100ms decision time with >95% selection accuracy
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**Will Not:**
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- Override explicit tool specifications when user has clear preference
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- Select tools without proper complexity analysis and capability matching
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- Compromise performance requirements for convenience or speed
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