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/select-tool

Intelligent MCP tool selection based on complexity scoring and operation analysis

From plugin
claude-scholar
5.5k65 skills6 agents65 commands5 hooks
Install
> /plugin marketplace add Galaxy-Dawn/claude-scholar
> /plugin install claude-scholar@claude-scholar

How it fires

How this command gets triggered: by you, by Claude, or both.

  • Fires itselfClaude auto-loads it when your prompt matches the work.
  • You can call itInvoke it directly when you want it.
  • Slash command/select-tool

Context preview

What this command does when you run it.

Intelligent MCP tool selection based on complexity scoring and operation analysis

Command definition

select-tool.md
name: select-tool
description: "Intelligent MCP tool selection based on complexity scoring and operation analysis"
category: special
complexity: high
mcp-servers: [serena, morphllm]
personas: []

/sc:select-tool - Intelligent MCP Tool Selection

Triggers

  • Operations requiring optimal MCP tool selection between Serena and Morphllm
  • Meta-system decisions needing complexity analysis and capability matching
  • Tool routing decisions requiring performance vs accuracy trade-offs
  • Operations benefiting from intelligent tool capability assessment

Usage

/sc:select-tool [operation] [--analyze] [--explain]

Behavioral Flow

1. **Parse**: Analyze operation type, scope, file count, and complexity indicators 2. **Score**: Apply multi-dimensional complexity scoring across various operation factors 3. **Match**: Compare operation requirements against Serena and Morphllm capabilities 4. **Select**: Choose optimal tool based on scoring matrix and performance requirements 5. **Validate**: Verify selection accuracy and provide confidence metrics

Key behaviors:

  • Complexity scoring based on file count, operation type, language, and framework requirements
  • Performance assessment evaluating speed vs accuracy trade-offs for optimal selection
  • Decision logic matrix with direct mappings and threshold-based routing rules
  • Tool capability matching for Serena (semantic operations) vs Morphllm (pattern operations)

MCP Integration

  • **Serena MCP**: Optimal for semantic operations, LSP functionality, symbol navigation, and project context
  • **Morphllm MCP**: Optimal for pattern-based edits, bulk transformations, and speed-critical operations
  • **Decision Matrix**: Intelligent routing based on complexity scoring and operation characteristics

Tool Coordination

  • **get_current_config**: System configuration analysis for tool capability assessment
  • **execute_sketched_edit**: Operation testing and validation for selection accuracy
  • **Read/Grep**: Operation context analysis and complexity factor identification
  • **Integration**: Automatic selection logic used by refactor, edit, implement, and improve commands

Key Patterns

  • **Direct Mapping**: Symbol operations → Serena, Pattern edits → Morphllm, Memory operations → Serena
  • **Complexity Thresholds**: Score >0.6 → Serena, Score <0.4 → Morphllm, 0.4-0.6 → Feature-based
  • **Performance Trade-offs**: Speed requirements → Morphllm, Accuracy requirements → Serena
  • **Fallback Strategy**: Serena → Morphllm → Native tools degradation chain

Examples

Complex Refactoring Operation

/sc:select-tool "rename function across 10 files" --analyze
# Analysis: High complexity (multi-file, symbol operations)
# Selection: Serena MCP (LSP capabilities, semantic understanding)

Pattern-Based Bulk Edit

/sc:select-tool "update console.log to logger.info across project" --explain
# Analysis: Pattern-based transformation, speed priority
# Selection: Morphllm MCP (pattern matching, bulk operations)

Memory Management Operation

/sc:select-tool "save project context and discoveries"
# Direct mapping: Memory operations → Serena MCP
# Rationale: Project context and cross-session persistence

Boundaries

**Will:**

  • Analyze operations and provide optimal tool selection between Serena and Morphllm
  • Apply complexity scoring based on file count, operation type, and requirements
  • Provide sub-100ms decision time with >95% selection accuracy

**Will Not:**

  • Override explicit tool specifications when user has clear preference
  • Select tools without proper complexity analysis and capability matching
  • Compromise performance requirements for convenience or speed
Read more
Ships withclaude-scholar

Semi-automated research assistant for academic research and software development. Supports Claude Code, Codex CLI, Kimi Code CLI, and OpenCode across ideation, coding, experiments, writing, and publication.

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