Single tool with minimal definition quality. Tool name 'execute_skill_action' is generic and does not follow verb_noun pattern clearly (execute_skill_action vs. quantize_weights or pack_blocks). Description is present (89 chars) but vague, does not explain WHAT the tool does, WHEN to use it, or what it returns. Input schema exists but is severely underspecified: single string parameter 'query_payload' with no format, constraints, or examples. No output schema documented. Tool appears to be a pass-through echo service rather than a functional quantization tool. The actual quantization logic (WeightQuantizationKQuantsBlockPacker in client.py) is NOT exposed as a tool, only a stub that echoes input exists.

• Rename tool to 'quantize_weights_q8_0' or 'pack_kquants_block' to clearly signal the action and match verb_noun pattern.
• Replace 'query_payload' string parameter with structured input: 'weights' (array of floats), 'quantization_type' (enum: Q8_0, Q4_0), 'block_size' (integer, default 32). Add descriptions for each.
• Document output schema with fields: quantization_type, block_size, total_weights, total_blocks, raw_fp16_bytes, quantized_bytes, compression_savings_pct, blocks (array of {block_idx, scale, quantized_int8}).
• Rewrite description to: 'Quantize floating-point weight arrays into discrete block structures using min-max scaling (Q8_0: 32-weight blocks with int8 quantization). Returns compression ratio and reconstructable blocks. Use this to reduce model size for edge deployment.'
• Expose quantization and dequantization as separate tools: 'quantize_weights_q8_0' and 'dequantize_weights_q8_0', each with proper schemas and descriptions. Remove the echo stub.