Ableton Live Remote Script that receives commands via TCP port 9004 and executes LiveAPI operations using a queue-based thread-safe approach for controlling every aspect of Ableton Live
This server has 40 tools with significant structural gaps. Tool definitions are present but lack depth. Descriptions are terse (6-18 chars average for many tools), falling below the 10-1024 char baseline and the 50-200 char LLM-optimized range. Input schemas are partially specified, while some parameters have type/description pairs (e.g., set_tempo, set_time_signature), many tools with complex semantics lack parameter documentation entirely (e.g., add_notes takes a 'notes' array but provides no nested schema structure defining pitch, start, duration, velocity constraints). Output schemas are undocumented, tools return success/error JSON dicts, but the shape and required fields are not formally declared. Error handling is present but generic (try-except returning {ok: false, error: str(e)}) with no recovery guidance, actionable constraint messages, or error categorization. No evidence of permission gates, audit trails, or security scopes. Naming is mostly strong (verb-noun patterns: start_playback, create_midi_track, set_tempo), but parameter naming reveals inconsistencies, e.g., track_index vs device_index suggest positional IDs, but no guidance on valid ranges or lookup mechanisms. The codebase is Ableton-specific (liveapi_tools.py imports Live), making it clear this is domain code, not a generic MCP integration, which is appropriate, but the tool interface does not reflect MCP best practices for LLM clarity.
Tool descriptions are terse (most 15-50 chars, well below 50-200 char LLM-optimized baseline). Too short to guide LLM tool selection or explain when to call one vs. another similar tool. E.g., 'Tap tempo' (9 chars), 'Launch clip' (11 chars), 'Create scene' (12 chars).
Parameter 'notes' in add_notes tool lacks nested schema definition. The description says 'Array of note objects with pitch, start, duration, velocity' but no formal schema is provided (no items schema with properties). LLM cannot validate individual note fields and may produce malformed arrays.
Expand all tool descriptions to 50-200 characters. For example, 'tap_tempo' should be 'Detect and set tempo by tapping; use when tempo changes dynamically or when manual beat-based adjustment is needed.' This guides LLM selection vs. set_tempo.
Document output schemas for all tools. For set_tempo, declare: {type: object, properties: {ok: {type: boolean}, message: {type: string}, bpm: {type: number, minimum: 20, maximum: 999}}, required: [ok, bpm]}. For read operations like get_session_info, document the exact structure of returned objects.
Enhance error handling to include actionable recovery guidance. When set_tempo receives out-of-range BPM, return {ok: false, error: 'Invalid BPM: 5. Must be 20-999. Try a value between 20 and 999.'} instead of generic exception string.
Add descriptions to all index/position parameters: 'track_index: Integer 0-based position of track (use get_session_info to find num_tracks)', 'scene_index: Integer 0-based position of scene'.
Implement permission gates: gate delete_track, stop_recording behind a requires_confirmation flag. Offer a dry_run parameter or separate confirm_delete_track tool.
Output schemas are not documented for any tool. The code returns dict with {ok: bool, error/message: str, ...data fields}, but no formal response schema is declared. LLMs cannot predict what fields to expect for chaining calls.
Error handling is generic and provides no recovery guidance. All failures return {ok: false, error: str(e)}. No distinction between retryable (transient API failure), user-fixable (invalid parameter), or fatal errors. No actionable constraint messages (e.g., when set_tempo receives 5 BPM, error should state 'must be 20-999' not just 'failed').
Many parameters lack description. E.g., track_index, device_index, position, length appear in 20+ tools with no guidance on valid ranges, whether indices are 0-based or 1-based, or how to discover valid indices. LLMs will guess and produce out-of-bounds errors.
No permission gates or scope declarations. Tools like delete_track, stop_recording, and add_device are destructive/state-changing but have no checks to gate them. No audit trail logging. No indication of which permissions (scopes) are required for each tool.
No idempotency markers or confirmation steps. create_midi_clip, add_notes, add_device, and delete_track are not marked idempotent. Agents retrying on transient failures could create duplicates or lose data. No dry-run or confirm_before_execute pattern.
Add pagination to list tools: get_m4l_devices(track_index, limit=50, offset=0) returning {ok, devices, total_count, has_more}. This prevents context window exhaustion.
Mark idempotent tools explicitly (e.g., via toolAnnotations in MCP protocol, or in description: 'Idempotent: safe to retry'). Clearly document side effects for non-idempotent tools.
Add a parameter validation tool or internal validation before calling Live API, returning constraint violation details to the LLM with correction suggestions.
Consider batch operations for common patterns: add_notes_batch to accept multiple clips in one call, or set_device_params_batch for multiple parameters, reducing round-trip latency and token waste.