This server demonstrates solid engineering with clear tool naming, comprehensive parameter schemas, and good use of tool annotations. All three tools follow verb_noun convention (search_*, get_*), have proper Zod-validated input schemas with type definitions, and include descriptive parameters. Tool annotations (readOnlyHint, destructiveHint, idempotentHint) are correctly applied. However, tool descriptions are somewhat generic and lack actionable LLM guidance on when/why to use each tool over alternatives. Parameter descriptions exist but could be richer with constraints and examples. Output schemas are not explicitly documented in the visible code. Error handling is present but error messages are not visible in the provided source.

• Enhance tool descriptions from ~40-50 chars to 100-150 chars with explicit guidance: 'Use this for single-term lookups (kanji character, romaji, or English meaning). For multi-criterion filtering (grade + stroke count), use kanjialive_search_advanced instead.'
• Document output schemas explicitly in each tool definition. Add a note like 'Returns: {kanji: string, readings: {on: string[], kun: string[], nanori: string[]}, meanings: string[], grade?: number, jlpt?: number}'
• Add format constraints to parameters: 'meaning (English, partial matches acceptable)', 'kunyomi (romaji spelling, e.g. "ku" for 来る)', 'strokeCount (integer, 1-30)'
• Include error recovery hints in descriptions: 'If no results found, try kanjialive_search_advanced with a subset of filters or check the Radicals resource for available radical characters.'
• Consider adding a batch variant for advanced search to support filtering large result sets client-side, reducing round-trips when the LLM needs to filter across multiple criteria.
• Explicitly document pagination behavior if results can exceed a threshold. Add limit/offset parameters or document a hardcoded result cap.

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

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