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optimize-schema

Optimize MCP tool schemas with detail-level enums and token-savings estimates.

Updated Feb 1, 2026
Search Tags:#MCP#optimize#schemas#code-generation#token-efficiency#detail-level
One-click install
npx skills add https://github.com/brunogama/claude-mcp-wrapper --skill optimize-schema
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: optimize-schema
Source: https://github.com/brunogama/claude-mcp-wrapper/tree/main/skills/optimize-schema
Command: npx skills add https://github.com/brunogama/claude-mcp-wrapper --skill optimize-schema

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Tool schemas for MCP can become bloated, leading to unnecessary token consumption and verbose responses; this skill provides a principled approach to minimize token cost while preserving functionality.

Core Features & Use Cases

  • Analyze existing tool schemas to identify token waste and redundancy.
  • Design and enforce detailed level enums (SUMMARY, NORMAL, DETAILED, DEBUG) and compact response structures.
  • Generate optimized schemas, example implementations, and token-savings estimates for MCP tooling and code-generation scenarios.

Quick Start

Provide your current MCP tool schema to generate an optimized, detail-level aware version with examples and token-saving guidance.

Frequently Asked Questions about optimize-schema

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I optimize MCP tool schemas for minimal token usage?▼

To optimize MCP schemas for minimal token usage, you provide existing tool schemas to identify token waste and redundancy, then generate detail-level aware enums and compact response structures to reduce cost.

What is detail-level enum design in MCP schemas?▼

Detail-level enum design in MCP schemas involves defining specific response levels like SUMMARY, NORMAL, DETAILED, and DEBUG, allowing clients to request only the necessary data depth to conserve tokens.

How do I reduce token consumption in verbose MCP responses?▼

You reduce token consumption in verbose MCP responses by applying response filtering and enforcing compact response structures, which strips unnecessary payload data while preserving core tooling functionality.

Can I generate implementation code with token savings estimates for MCP tooling?▼

Yes, you can generate implementation code with token savings estimates for MCP tooling by analyzing existing schemas and producing optimized versions complete with usage examples and calculated efficiency metrics.

Does my MCP project need specific dependencies to design compact response structures?▼

No specific dependencies are required to design compact response structures for MCP projects; the optimization process analyzes existing schemas directly to enforce token efficiency without external component prerequisites.

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