All three tools have identical, generic descriptions ('Echoes the message back to the client' for Echo and Reverse; 'Get length of string' for Length). No input schemas are visible in the source code, only parameter names and types are inferred from method signatures. No output schemas documented. Tool names lack action verbs (Echo, Reverse, Length are nouns/adjectives, not verb_noun patterns). No error handling, validation, or recovery guidance. No parameter descriptions beyond the bare type. This is a minimal example server with no production-grade tooling patterns applied.

• Rename tools to verb_noun pattern: 'echo_message', 'reverse_string', 'get_string_length'. This helps LLMs parse intent from the name alone.
• Expand descriptions to 50 - 200 characters with WHAT, WHEN, and output format. Example: 'Echo returns the input message prefixed with "hello from c#". Use to test connectivity or echo user input back. Returns a string.'
• Add explicit JSON Schema input definitions with parameter descriptions. Example: {"type": "object", "properties": {"message": {"type": "string", "description": "The text to echo (max 1000 chars)"}}, "required": ["message"]}
• Document output schemas. Example for Echo: {"type": "object", "properties": {"result": {"type": "string", "description": "The echoed message with prefix"}}}
• Add error handling and validation. Return structured errors like 'Invalid input: message exceeds 1000 characters' instead of letting the tool fail silently.

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

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