The server defines 9 text processing tools with mixed quality. All tools have basic JSON Schema input definitions with typed parameters and most have descriptions, but they fall short of production standards in several areas: (1) Tool descriptions are in Japanese, creating ambiguity for English-speaking LLM agents; (2) Descriptions lack critical WHEN-to-use context and are under the recommended 50-200 character range for LLM optimization; (3) Parameter descriptions are minimal (e.g., 'The text to count characters in' is generic); (4) No error categorization or recovery guidance in descriptions; (5) No output schemas documented, forcing LLMs to infer response structure; (6) Tool names are clear and action-oriented (verb_noun pattern), which is a strength; (7) Parameters have types and reasonable defaults, but lack constraints and format hints; (8) No batch variants despite tools that could naturally accept arrays; (9) Tool 'text_diff' truncates output to 10 differences without pagination guidance. The server is functional for basic utility tasks but lacks the LLM-readiness patterns needed for agent composition.

• Translate all tool descriptions and parameter descriptions to English. Descriptions should be 50-200 characters, clear about what the tool does, when to use it instead of similar tools, and what fields the response contains. Example: 'Count characters in text. Returns total count with optional space/newline/tab filtering. Use for text analysis and validation tasks. Returns: {total_characters, total_with_spaces, lines, words}.'
• Document output schemas for all 9 tools. For each tool, add a returns/output section showing the exact JSON structure with field types and descriptions. This enables LLMs to compose tools confidently and parse responses accurately.
• Add constraints to numeric parameters. E.g., 'indent': 'Number of spaces for indentation (1-8, default 2)' instead of just 'Number of spaces for indentation'. Validate input and return actionable errors like 'Invalid indent: got 100, must be 1-8.'
• Enhance error messages with recovery guidance. Instead of returning {'error': 'Invalid algorithm'}, return {'error': 'Invalid algorithm. Valid options: md5, sha1, sha256, sha512. Retry with one of these.'}. Categorize errors as retryable (bad input, timeout) vs fatal (service down).
• Add pagination to text_diff. Return a total count of differences, limit results to ~10, and include a next_cursor for fetching more. This prevents context explosion on large diffs and follows the paginated-result pattern.
• Add tool annotations. Use @mcp.tool(readOnlyHint=True) or equivalent for all 9 tools since they are read-only and idempotent. This signals to agents they are safe to retry without side effects.