Three tools with basic verb-noun naming (get_profile, get_alerts, get_forecast). All have descriptions and input schemas with types. However, descriptions are minimal (10-20 chars), parameter descriptions lack detail on format/constraints, and output schemas are undocumented. No error handling guidance, no pagination support despite potential for large results, and no tool annotations. Tools return unstructured JSON strings rather than structured objects. Baseline: 194 chars avg description; these average ~15 chars. No evidence of LLM-optimized descriptions or recovery guidance.

• Expand tool descriptions to 100-200 chars. Example: 'get_profile: Fetch LinkedIn profile data including skills and certifications. Requires a valid LinkedIn profile URL (e.g., linkedin.com/in/username). Returns JSON with name, headline, experience, and skills. Use this to enrich user profiles or verify employment history.'
• Add parameter constraints in descriptions. E.g., 'state: Two-letter US state code (CA, NY, TX, etc.). Must be uppercase. Invalid codes return 'State not found' error.'
• Document output schemas explicitly. E.g., 'Returns: {name: string, headline: string, skills: [string], experience: [{title, company, duration}]}'
• Add error recovery hints. E.g., 'If API timeout occurs, retry after 30 seconds. If 'Invalid URL' error, verify the LinkedIn profile URL is public and follows linkedin.com/in/username format.'
• Add pagination to get_alerts and get_forecast. Include limit (default 20, max 100) and offset/cursor parameters. Return total_count and next_cursor in response.