Server provides 2 basic arithmetic tools (Add, Sub) with minimal but present input schemas and descriptions. Both tools have correct parameter types (number) and basic descriptions. However, the tool design violates single-responsibility and composition patterns: the tools perform trivial operations that would never be used in a real agent workflow. No output schema documentation. No error handling guidance. Descriptions are adequate but generic (under 50 chars). No parameter constraints or ranges. Tools lack the depth and maturity expected of production-grade utilities.

• Rename tools to follow verb_noun convention: 'add_numbers' and 'subtract_numbers' to improve LLM clarity on intent.
• Document output schema explicitly: state that tools return a numeric result as a string, or return structured JSON with a 'result' field containing the numeric output.
• Extend parameter descriptions to include range constraints: 'a: The first number (must be a finite number within ±1e308)'; 'b: The second number (must be a finite number within ±1e308)'.
• Add error handling documentation: describe behavior if inputs are NaN, Infinity, or exceed floating-point precision. Provide guidance on what to do if calculation overflows.
• Consider replacing these toy tools with domain-specific utilities (e.g., calculate_discount, compute_tax, aggregate_metrics) that solve real user problems.
• Document expected output format and return a structured response schema: e.g., { "result": <number>, "operands": { "a": <number>, "b": <number> }, "operation": "add" | "subtract" }.

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

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