Server has 12 tools with basic descriptions and parameter schemas, but significant quality gaps. All tools have descriptions (good), but most are under 100 chars and lack actionable context. Parameter descriptions are minimal (1-5 words). No output schemas documented. Error handling is absent, tools return raw str() conversions of Python dicts instead of structured JSON. No enum constraints on fields like issueType, priority, status, linkType. Destructive operations (delete_issue) lack confirmation patterns. Response formatting is inconsistent and token-wasteful (str() of dicts). Naming is generally clear (verb_noun pattern), but parameter names lack type suffixes (e.g., 'assignee' should be 'assignee_email' to match the description).

• Convert all tool responses from str(dict) to proper JSON objects with documented output schemas. E.g., create_jira_issue should return {"key": string, "id": string, "self": string} with field descriptions.
• Add enum constraints to categorical parameters. E.g., issueType, priority, status, linkType should declare valid options (e.g., priority: enum ["Lowest", "Low", "Medium", "High", "Highest"]) instead of free-form strings.
• Expand parameter descriptions to 50-100 chars with format guidance. E.g., 'assignee' → 'Email address of the assignee (e.g., [email protected]). Use get_user() to look up by name if needed.'
• Implement error handling with recovery guidance. E.g., get_user should return 'User not found with email: {email}. Try search_issues() or list available users.' instead of raising ValueError.
• Add confirmation pattern to delete_issue. Require a confirm=true parameter or return a dry-run result first, so agents cannot accidentally delete without explicit intent.