Server has 9 tools with complete input schemas and descriptions, but quality is inconsistent. Tool names follow verb_noun convention (search_, add_, get_, update_, delete_, list_, substitute_, complete_). Descriptions range 50-180 chars, meeting baseline minimums. However, parameter descriptions are sparse or generic ('The natural language query' lacks format guidance), and output schemas are entirely undocumented, LLMs cannot plan downstream calls. Error handling is absent; no guidance on retryability, user-fixable vs fatal errors, or recovery paths. Security concerns: no evidence of input validation, SQL injection guards, or permission checks despite WRITE/DESTRUCTIVE operations. Composition is reasonable (single responsibility per tool), but missing idempotency guarantees and batch variants for common patterns.

• Document output schema for every tool. Example: 'Returns {entry_id: int, nl_query: string, template: string, template_type: string, similarity_score?: float, tags: string[]}'. This enables LLM planning and chaining.
• Add min/max bounds and format constraints to numeric and string parameters. E.g., 'threshold: 0.0 - 1.0 (default 0.85)', 'limit: 1 - 100 (default 1)', 'nl_query: 1 - 2000 characters'.
• Implement input validation with actionable error messages. Return 'Invalid threshold: got 1.5, must be 0.0 - 1.0' instead of a 400 error.
• Add dry-run support to delete_cache_entry and update_cache_entry. Include a 'confirm' parameter that returns what would change without executing.
• Document idempotency guarantees. Clarify whether add_cache_entry with identical inputs creates duplicates or returns the existing entry. This is critical for agent retry safety.

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

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