Codeforces-mcp has 20 well-named tools with consistent verb_noun patterns (get_*, search_*, build_*). All tools have descriptions (avg ~120 chars, within baseline 34-392 range). Input schemas are present and typed via Zod. However, parameter descriptions are sparse, many lack detail on format, constraints, or valid ranges. Output schemas are not documented in the source. Error handling is basic (success/error wrapper) with no recovery guidance. No tool annotations (readOnlyHint, etc.). The server is domain-focused and coherent, but lacks the depth expected for production-grade agent tooling.

• Document output schemas for all tools. Show field names, types, and structure. E.g., get_profile returns {handle, rating, rank, maxRating, solveCount, ...}. This enables LLMs to chain tools and extract data.
• Convert parameter descriptions to formal constraints. Replace 'e.g., OK, WA, TLE' with enum: ['OK', 'WA', 'TLE', 'RE', 'MLE', 'TLE']. Add min/max for numeric params: limit (1-100), days (1-365).
• Add error recovery guidance. Return structured errors: {error: string, code: string, retryable: boolean, suggestion: string}. E.g., 'User not found. Try search_users() or check the handle spelling.'
• Declare tool annotations in schemas. Add readOnlyHint: true to all tools (they are all read-only). This signals to agents that these tools are safe to call without confirmation.
• Enforce and document result limits. Cap search_problems at 50, get_submissions at 100. State limits in descriptions: 'Returns up to 50 problems.' Offer pagination (offset/limit or cursor) for large result sets.