This server has a single tool 'execute_skill_action' with virtually no definition quality. The tool description is a bare 34-character string ('Execute mattress customization skill action') that fails to explain WHAT the tool does, WHEN to use it, or what it returns. No input schema is visible in the source code, the tool is never explicitly registered with parameters, types, or constraints. The mcp_server.py file contains only a JSON status message with no actual tool registration, schema definition, or MCP protocol implementation. The client.py file shows a hardcoded method (customize_orthopedic_mattress) with fixed parameters, but this is NOT exposed as a tool schema. Without visible input schemas, parameter descriptions, or output documentation, this tool scores 0 on schema and cannot exceed 50 overall per the hard rules.

• Define explicit input schema with typed parameters. Based on client.py, expose sleeper_weight_kg (number, 40-200 kg), sleeping_posture (enum: side_and_back, back_sleeper, side_sleeper, stomach_sleeper), and trial_day (integer, 0-100). Add descriptions for each parameter explaining its purpose and constraints.
• Expand tool description to 100-200 characters explaining: 'Customize an ergonomic mattress configuration based on sleeper weight, posture, and trial progress. Returns recommended firmness, foam layers, trial days remaining, and sleep quality metrics.' This matches the baseline 194-char average.
• Document the output schema with all returned fields: mattress_configuration_id (string), recommended_firmness_scale_1_to_10 (number), foam_layering_composition (array of strings), active_100_night_trial_days_remaining (integer), sleep_quality_improvement_reported_pct (number), free_doorstep_exchange_guarantee (boolean).
• Rename tool from 'execute_skill_action' to 'customize_mattress' or 'get_mattress_recommendation' to clearly signal the action and domain. This follows verb_noun convention and improves LLM tool selection.
• Add error handling guidance: document what happens if weight is out of range, posture is invalid, or trial_day exceeds 100. Return actionable error messages like 'Invalid sleeping_posture: must be one of: side_and_back, back_sleeper, side_sleeper, stomach_sleeper'.