Single tool with minimal schema and description. Tool description is 79 chars, acceptable length but generic. No output schema documented. No error handling guidance. No parameter constraints (enums, ranges, formats). The 'turns' parameter accepts an array of objects but provides no guidance on required fields ('role', 'content'), expected values, or format. Missing idempotency hints, dependency documentation, and recovery guidance.

• Add a detailed description to the 'turns' parameter: 'Array of conversation turn objects. Each turn must have a "role" field ("user" or "assistant") and a "content" field (string). Example: [{"role": "user", "content": "Hello"}, {"role": "assistant", "content": "Hi there!"}]'
• Document the output schema in the tool description or as a separate schema field: 'Returns an object with keys: initial_turn_count (int), retained_turn_count (int), dropped_turn_count (int), retained_turns (array of turn objects with entropy scores), dropped_turns (array of turn objects with entropy scores).'
• Expand tool description to explain the algorithm: 'Removes conversational turns with low information entropy (< 2.0 bits) or matching common pleasantries (hello, thanks, ok, etc.). Useful for reducing noise in long conversation histories before sending to an LLM. Returns both retained and dropped turns with entropy scores for transparency.'
• Add input validation and error handling: return structured errors like '{"error": "Invalid turn object at index 2: missing required field \"role\""}' instead of generic exceptions.
• If min_entropy_threshold should be configurable, expose it as an optional parameter with bounds (e.g., 0.5 - 5.0) and a description explaining its effect on pruning behavior.