Critical gaps across all dimensions. Tool definitions lack input schemas entirely, no visible JSON Schema definitions in source code. Descriptions are present but generic (10-50 chars, well below 50-200 char baseline for LLM optimization). Parameters are not documented with types or constraints. No output schemas visible. Error handling absent. This server exposes raw domain logic without the abstraction layer agents need. STDIO transport compounds the issue.

• Add JSON Schema input definitions to every tool. Minimum: type, description, and enum/pattern constraints for each parameter. Example: { 'type': 'object', 'properties': { 'score_id': { 'type': 'string', 'description': 'UUID of the score to modify' }, 'tempo': { 'type': 'number', 'minimum': 20, 'maximum': 300, 'description': 'Tempo in BPM' } }, 'required': ['score_id', 'tempo'] }
• Expand tool descriptions to 50-200 characters. Include WHAT the tool does, WHEN to use it, and any prerequisites. Example: 'Create a new empty score with specified time signature and key. Call this before adding parts or importing MIDI. Returns score_id for use in subsequent operations.'
• Document output schemas for all tools. For list tools (instrumentsList, ensembleList, etc.), specify: array of objects with fields (id, name, description), total count, and pagination support. For write tools, return the modified resource ID and key fields needed for chaining.
• Add error handling guidance to descriptions of destructive tools (scoreClose, partClear, exportScore). Example: 'Permanently removes the score from the session. This cannot be undone. Consider exporting first via exportScore().'
• Split compound tool names: 'transcribeRequantize' → 'transcribeAudio' + 'requantizePerformance'. Rename ambiguous tools: 'partWrite' → 'partWriteNotation', 'orchestrate' → 'orchestrateHarmony'. Use verb_noun pattern consistently.