The roland server has a single tool 'about-roland' with critical definition quality gaps. The tool name does not follow verb_noun conventions (should be 'get_about_roland' or 'describe_roland'). The description is minimal (35 characters), providing no context about when to use this tool or what constitutes 'more information.' The input schema is completely empty (no parameters), which is acceptable for a read-only info tool but the schema itself lacks documentation. The output is returned as unstructured markdown text rather than structured fields, making it impossible for agents to extract specific details. There is no error handling documentation. This is a minimal hobby/demo server with no production-grade tool patterns applied.

• Rename tool from 'about-roland' to 'get_about_roland' or 'describe_roland' to follow verb_noun convention and signal intent to LLMs.
• Expand description to 100-150 characters: 'Retrieve detailed information about Roland, including background, expertise, and contact information. Use this to learn who Roland is when the user asks about him.'
• Refactor output schema from plain text to structured JSON: {name: string, role: string, bio: string, skills: array<string>, contact: {email?: string, github?: string}}. Parse the markdown once at startup or lazily, store as JSON.
• Add try-catch error handling: catch file-not-found errors and return {error: 'About file not found. Please check server configuration.', retryable: false}. Wrap in recovery-guide pattern.
• Move hardcoded path to environment variable: const serverHome = process.env.ROLAND_HOME || './files'; Default to relative path for portability.
• Add input schema object (even though empty) with proper documentation: input: {type: 'object', properties: {}, description: 'This tool takes no parameters.'}
• Consider adding a 'format' parameter (optional): format?: enum['text' | 'json' | 'summary'] to let agents request different levels of detail.