Server has 9 tools with reasonable naming (verb_noun pattern) and basic descriptions. However, critical gaps exist: parameter descriptions are sparse or missing entirely (e.g., linkedin_search_leads has 12 params but many lack detail on format/constraints); output schemas are not documented in the source code provided; error handling is minimal with no recovery guidance; no tool annotations (readOnlyHint/destructiveHint) despite clear risk levels. Descriptions average ~80 chars, below the 194-char baseline for A+ tools. The server follows basic structure but lacks the depth needed for confident LLM tool selection and error recovery.

• Document output schemas for all tools. For linkedin_search_leads, explicitly define SearchResult structure (leads: LeadProfile[], totalResults: number, currentPage: number, totalPages: number). For linkedin_get_lead_profile, document LeadProfile fields and which are optional.
• Add enum constraints to parameters. Change 'connectionDegree' description to 'Connection degree filter (1, 2, or 3)' and validate input. For 'format' in linkedin_export_leads, the enum is present but other params like 'seniorityLevel' need explicit valid values.
• Implement tool annotations in MCP registration. Mark linkedin_save_lead, linkedin_unsave_lead, linkedin_send_inmail, linkedin_create_list with destructiveHint=true. Mark all READ_ONLY tools with readOnlyHint=true. This enables LLM retry logic.
• Enhance error messages with recovery guidance. E.g., 'InMail send failed: insufficient credits (0 remaining). Try again after purchasing credits or use linkedin_search_leads to find alternative contacts.' instead of a bare error code.
• Document pagination and result limits. Add to linkedin_search_leads: 'Returns up to 20 results per page. Use page parameter (1-indexed) to fetch additional results. totalPages indicates how many pages are available.' Cap linkedin_export_leads at 1000 leads per call.