Single tool with minimal definition quality. The tool 'search_words' has a valid naming convention (starts with verb 'search'), but the implementation is critically underdeveloped. Tool description is present but vague (only 'Search for words in the dictionary', 40 chars, below ideal 50-200 char range). No output schema is documented; the implementation returns a hardcoded mock response ('Hello, {params}!') rather than actual word search results. No error handling, no parameter validation guidance, no composition awareness. The schema uses Zod validation (min length 1) but does not expose this in a way agents can introspect. Overall, this is a non-functional placeholder tool that fails multiple critical quality gates.

• Expand tool description to 50-200 characters. Example: 'Search for words in the dictionary. Accepts a word or partial word and returns definitions, part of speech, example usage, and phonetic pronunciation. Returns up to 20 results; use pagination parameters for more.'
• Add explicit parameter description. Change the schema to include a description field: { params: z.string().min(1).describe('The word or partial word to search for (e.g., "cat", "un*" for wildcard). Case-insensitive. Min 1 char, max 50 chars.') }
• Document the output schema. Add a comment or JSDoc block specifying the response structure, e.g.: '{ content: [{ type: "text", text: string }], metadata: { total_results: number, is_truncated: boolean } }'
• Implement actual word search logic. Replace the mock 'Hello, {params}!' response with real dictionary lookups. Return structured results with fields like word, definition, part_of_speech, example.
• Add error handling with recovery guidance. Return errors like 'No results found for "xyz". Try a shorter word or check spelling.' with retryable classification.
• Add parameter constraints to the description. Specify min/max length, character restrictions, and format (e.g., alphanumeric only).
• Consider adding optional parameters for filtering: limit (default 20, max 100), part_of_speech (enum: noun, verb, adjective, etc.), exact_match (boolean).