The server implements 2 tools (echo, add) with visible input schemas and descriptions. Both tools have complete JSON Schema definitions with typed parameters and descriptions. However, the definitions are quite minimal, descriptions are terse (11-17 chars), lack context about when to use each tool, and provide no guidance on error handling or output structure. The schemas themselves are well-formed but the accompanying documentation is sparse. Tool naming follows verb_noun convention (echo, add) which is good, but 'echo' is a somewhat generic operation name. No output schemas are documented. No tool annotations (readOnlyHint, destructiveHint, idempotentHint) are present despite the tools being read-only. The server also registers prompts and resources with pagination, which demonstrates good protocol patterns, but the focus here is on the two tools which form the core delivery.

• Expand tool descriptions to 50-200 chars. For 'echo', try: 'Returns the input message exactly as received. Use to verify message handling or test connectivity. Returns the same message string without modification.' For 'add', try: 'Computes the sum of two numbers. Accepts integer or decimal inputs. Returns the numeric result. Use for arithmetic calculations or value transformations.'
• Document output schemas explicitly. Add to the tools registration: echo should return {type: 'object', properties: {message: {type: 'string', description: 'The echoed message'}}}. add should return {type: 'object', properties: {result: {type: 'number', description: 'The sum of a and b'}}}.
• Add readOnlyHint: true to both tool definitions via tool annotations, signaling to LLMs that these are safe, non-destructive operations.
• Add error handling context: 'If a or b is not a number, the tool returns an error with the invalid value and expected type. Request the user to provide numeric inputs.'
• Consider renaming 'echo' to 'repeat_message' or 'return_string' for clarity.
• Add parameter constraints: for 'message', specify max length if there is one. For 'a' and 'b', specify min/max numeric range if bounded.

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

• Relies on Sampling (deprecated) - integrate directly with the LLM provider API