Server has 2 tools with basic functionality but significant quality gaps. Tool names lack action verbs and are not optimally descriptive. Descriptions are minimal (10-50 chars, below the 34-char p10 baseline and well below production averages of 194 chars). Parameter descriptions are either missing or minimal. Output schemas are not documented. The `random_number()` tool has a critical runtime bug (random.randint not random). No error handling or recovery guidance. No tool annotations. Composition is simplistic but acceptable for a demo server. This is a minimal proof-of-concept, not production-ready.

• Rename 'add' → 'add_numbers' and 'random_number' → 'generate_random_number' to follow verb_noun convention and improve LLM intent inference.
• Expand tool descriptions to 100-200 chars. For 'add_numbers': 'Add two integers and return their sum. Use when you need to compute arithmetic operations on numeric values. Returns a single integer result.' For 'generate_random_number': 'Generate a pseudo-random integer between 1 and 100 (inclusive). Useful for sampling, randomization, or testing. Returns an integer with uniform distribution.'
• Document output schema explicitly in descriptions: 'Returns: integer' or in a structured return type annotation.
• Fix runtime bug: replace random(1,100) with random.randint(1, 100) in random_number().
• Add input validation to add(): check that a and b are not NaN or infinity. Return a clear error: 'Invalid input: a and b must be finite integers.'
• Add tool annotations via FastMCP: use @mcp.tool decorator with readOnlyHint=True for both tools to declare they are safe to call repeatedly without side effects.
• Document parameter constraints in descriptions: 'a (int): First operand, any finite integer value' instead of just 'First Number'.
• Consider adding a min/max parameter to generate_random_number() to make it more flexible: generate_random_number(min: int = 1, max: int = 100) → int.