Simple Calculator Server has 2 well-defined tools with explicit schemas and descriptions visible in the source code. Tool naming follows verb_noun convention (add, random_number). Descriptions are present and adequate (30-70 chars), though they lack context for when to use tools or dependencies. Input schemas are fully visible with parameter types and descriptions. However, output schemas are not documented, the tools return raw integers with no structured envelope, and there is no guidance on what fields to expect. Parameters lack range constraints (min/max bounds), which is a notable gap for numeric operations. No error handling, no recovery guidance. Resource feature is present but undocumented. Overall quality is fair, meets basic standards but misses several patterns that would elevate it to 'Good' (70+).

• Document output schemas explicitly. E.g., for add: 'Returns: {"result": int}'. For random_number: 'Returns: {"value": int, "range": {"min": int, "max": int}}'.
• Add min/max constraints to numeric parameters with descriptions: 'min_val: Minimum value (default: 1, must be >= 1 and <= max_val)'. Validate in code: if min_val > max_val, return error 'min_val must be <= max_val; got min_val={min_val}, max_val={max_val}'.
• Enhance tool descriptions with context: 'Use add() to compute the sum of two integers. Returns the numeric result.' and 'Use random_number() to generate a pseudorandom integer within a range, useful for sampling or generating test data.'
• Wrap tool returns in a structured object: change 'return a + b' to 'return {"result": a + b}' and 'return random.randint(min_val, max_val)' to 'return {"value": random.randint(min_val, max_val), "min": min_val, "max": max_val}'.
• Add input validation in each tool with actionable errors: 'if min_val > max_val: raise ValueError(f"min_val ({min_val}) must be <= max_val ({max_val})")'.
• Document the info://server resource in a tool-like definition so LLMs know it exists and what it returns.