HelixMind exposes 5 tools for spiral context management. Tool naming follows a consistent spiral_* prefix pattern (verb+noun structure), which is good. However, definitions suffer from incomplete parameter schemas, missing parameter descriptions, and vague tool descriptions that lack actionable context for LLM selection. The server provides basic descriptions but falls short of production-grade clarity. Parameter descriptions are either missing entirely or generic. Error handling is not evident from the provided code. No tool annotations (readOnlyHint/destructiveHint/idempotentHint) are present despite tools having clear risk profiles.

• Add explicit output schemas to all tools. For spiral_context, document that it returns {results: [{id, content, level, score}], total, next_cursor}. For spiral_store, document {node_id, embedding_status, assigned_level}.
• Expand tool descriptions from current ~50-100 chars to 100-200 chars. Include: What it does, WHEN to use it (vs similar tools), WHAT it returns, and any prerequisites. Example: 'Store new context in the spiral context store. Call this when adding code snippets, notes, or memories. The system automatically embeds your content and links it to related existing context based on semantic similarity. Returns the node ID and confirmation of the assigned spiral level (L1-L3) for tracking.'
• Add formal constraints to parameters: spiral_context.limit as {type: 'number', minimum: 1, maximum: 100}; spiral_store.type as {type: 'string', enum: ['code', 'memory', 'note', 'research', 'documentation']} in JSON Schema; spiral_relate.relationshipType as {type: 'string', enum: ['references', 'depends_on', 'related_to', 'duplicates', 'parent', 'child']}.
• Rewrite spiral_compact description to explicitly state destructive nature: 'Trigger manual compaction of the spiral store. This PERMANENTLY DELETES old nodes when aggressive=true. Use with caution. Recommend dry-run or confirmation first.' Add a dry_run boolean parameter before adding destructive capability.
• Add recovery guidance to error paths. In tool definitions and implementation, specify: what happens on node-not-found (suggest calling spiral_context first), what happens on embedding failure (retry with backoff), what happens on aggressive delete (no undo, data lost).

Inferred effective spec: <=2025-11-25.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry