This server has 5 tools with basic descriptions and Zod-validated input schemas. However, the definitions have significant gaps: descriptions are minimal (averaging ~60 chars, well below the 194-char baseline for A-grade tools), output schemas are not documented, error handling is generic, and parameter descriptions lack constraint details (format, range, allowed values). All tools are read-only, which is good for safety, but the tool interface does not guide LLM decision-making effectively. The naming is clean (verb_noun pattern), but descriptions are too terse to help LLMs distinguish when to use each tool or understand dependencies between them.

• Expand tool descriptions to 100 - 200 characters. Example: 'get_issue' → 'Fetch detailed metadata for a Jira issue by key (e.g., PROJ-123). Returns summary, status, assignee, components, custom fields, and linked issues. Use this to understand issue context before updating or linking. Requires JIRA read permission.'
• Document output schemas in tool metadata. Define that get_issue returns {key, summary, status, assignee, components, created, updated, description}, and specify types and which fields are always present.
• Add min/max bounds to numeric parameters. E.g., maxResults: z.number().min(1).max(100).describe('Maximum number of results to return (default 20, max 100)')
• Add format constraints to string parameters. E.g., issueKey: z.string().regex(/^[A-Z]+-\d+$/).describe('Issue key in format PROJECT-123 (uppercase letters, hyphen, digits)')
• Implement pagination: add offset/cursor parameters, return total count or next_cursor, and document in tool description that large result sets are paginated.
• Enhance error responses with actionable recovery hints. Example: 'Issue not found: PROJ-9999. Check the key format (e.g., PROJ-123) or call get_projects to list available projects.'
• Declare tool annotations in schemas. Add annotations: {readOnlyHint: true} to all 5 tools so LLMs know these are safe to call repeatedly without side effects.
• Consider adding a search_issues or filter_issues tool to let LLMs use JQL (Jira Query Language) for complex queries. Current tools require callers to know issue types/projects upfront.