Five tools with basic schemas and minimal descriptions. All tools have proper JSON Schema with typed parameters and required fields, but descriptions are generic (10-30 chars) and lack context for LLM selection. No parameter descriptions beyond type hints. No output schemas documented. No error handling guidance. Tools are simple read-only operations with no composition hints or chaining support. Naming follows verb_noun convention (echo, add_numbers, get_weather, calculate_fibonacci, reverse_string) but descriptions do not explain WHEN to use each tool or what distinguishes them from similar operations.

• Expand all tool descriptions to 50-200 characters. Example: 'Echo back the input text exactly as provided. Use this to test text processing or verify input handling. Returns the text prefixed with "Echo: ".'
• Add descriptions to all parameters. Example for 'city': 'The city name (e.g., London, New York, Tokyo). Accepts any string; returns mock weather data.'
• Document output schemas in tool descriptions or as structured comments. Example: 'Returns a dict with keys: city (str), temperature (str), condition (str), humidity (str), wind (str), timestamp (ISO 8601 string).'
• Add input validation and error messages. Example for calculate_fibonacci: 'n must be a non-negative integer (0-1000). Returns error if n < 0 or n > 1000 to prevent timeout.'
• Include composition hints in descriptions. Example: 'Use add_numbers to combine results from other tools. Output is a float suitable for further arithmetic operations.'