Server provides 7 tools with complete JSON schemas and descriptions. Naming follows verb_noun convention (gh_manage_*, gh_search). Schemas are comprehensive with enums and constraints. However, descriptions are generic and lack LLM-optimized guidance on WHEN to use each tool vs alternatives. Parameter descriptions exist but many lack actionable format/constraint details. Output schemas are not documented. Error handling is basic (errorReporting=true but no recovery guidance visible in code). Tool composition has issues: gh_manage_repos, gh_manage_issues, gh_manage_pulls, gh_manage_branches, gh_manage_releases, gh_manage_actions all use a single 'operation' enum parameter, creating 6 mega-tools instead of focused single-purpose tools. This violates the single-responsibility pattern and forces LLMs to reason about operation selection rather than tool selection.

• Split mega-tools into focused single-purpose tools: create_repo, delete_repo, get_repo, list_repos, update_repo, fork_repo, etc. This lets LLMs select tools by intent rather than reasoning about operation enums. Reduces cognitive load and error rates.
• Rewrite tool descriptions to include selection criteria: 'Use gh_manage_issues to create, update, or search issues within a specific repo. Use gh_search for cross-repo issue search.' This disambiguates when to call each tool.
• Document output schemas for each tool. Add a 'Returns' section to each tool description listing key fields (e.g., 'Returns: {id, name, description, private, url, created_at, updated_at}') so LLMs know what data is available for downstream calls.
• Add format/constraint hints to parameter descriptions. E.g., 'body: Issue description in markdown (max 65536 chars)' or 'labels: Array of label names (max 10 per issue)'. This prevents invalid input and guides LLM reasoning.
• Add recovery hints to tool descriptions. E.g., 'If a user is not found by username, use gh_search to find their ID first.' This guides agents on multi-step workflows and reduces dead-end failures.