Three well-defined tools with clear action verbs and detailed descriptions. All tools have complete input schemas with type annotations and parameter descriptions. The server demonstrates good adherence to QUERY_TOOL and DISCOVERY_TOOL patterns. However, output schemas are not documented in the source, error handling guidance is minimal, and tool descriptions lack explicit dependency hints for multi-step workflows. The pagination support in search_swift_packages is a strength (page parameter with has_more indicator mentioned in description), and the use of enums for constrained parameters (platforms, product_type, license_filter) follows best practices.

• Add formal output schema documentation to all three tools. Example for search_swift_packages: document that it returns {packages: [{name, owner, repo, description, stars, platforms, license, last_activity, ...}], total_count, has_more, page}.
• Enrich tool descriptions with explicit multi-step guidance. Update search_swift_packages to include: 'Call list_search_filters() first if unsure what values are valid for platforms or product_type.' Update get_package_readme to note: 'Use owner and repo from search_swift_packages results.'
• Add recovery guidance for failure modes. Example: 'If the package is not found, try search_swift_packages() with a shorter or broader query term. If README fetch fails, the repository may be archived or require authentication.'
• Add explicit timeout and rate-limit documentation in descriptions, if applicable (e.g., 'API requests are rate-limited to 10/second per client').
• Document the behavior of 'last_activity_after' and 'last_activity_before' more clearly: does 'activity' include only releases, or also PRs and issues? This disambiguates the filter for LLMs.
• Add min/max bounds to the page parameter: 'Page number for pagination (minimum 1, default 1). Use has_more from the response to determine if more pages exist.'
• For max_length parameter, clarify the valid range: 'Maximum characters to return (0 for full content, 1-unlimited, default 4000). Larger values may consume more LLM context tokens.'

Inferred effective spec: <=2025-11-25.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry