This is a bare-bones starter template with significant quality gaps. All three tools have empty input schemas ({}), no parameter descriptions, and minimal descriptions. Tool names are action verbs but vague. No output schemas documented. Error handling is present but generic. The server appears designed to fetch UI component metadata but lacks the structured definitions needed for LLM-guided tool selection.

• Add non-empty input schemas to all tools. For read-only component listing, add optional filtering parameters (e.g., component_type: enum, category: enum). Example: { type: 'object', properties: { category: { type: 'string', enum: ['ratings', 'another-sample-category'], description: 'Component category to fetch' } } }
• Expand tool descriptions to 80-150 characters, explaining WHAT they return and WHEN to use them. Example: 'Retrieves all available UI components with metadata. Use this first to discover available components before requesting specific category details.'
• Document output schemas in tool definitions or response descriptions. Example: 'Returns an array of objects with name (string), type (string), description (string), dependencies (array of strings).'
• Improve error messages with recovery guidance. Replace 'Failed to fetch components' with 'Unable to fetch components: [specific reason]. Retry with a smaller request or check backend connectivity.'
• Fix typo: rename 'getAnotherSampleCateogory' to 'getAnotherSampleCategory'.
• Consider parameterizing which category to fetch instead of registering one tool per category. Reduces tool explosion and gives agents explicit control: get_components_by_category(category: string) with enum validation.
• Add parameter descriptions. Since tools currently take no parameters, this is a forward-looking recommendation: every parameter must include a description explaining its purpose, valid values, and constraints.