futurediffusion Tool Design Skill
Optimize the interface between deterministic systems and non-deterministic agents. This skill focuses on the "Architectural Reduction" principle to improve model reliability and reduce context bloat.
Core Principles
1. The Consolidation Principle
Reduce tool count and ambiguity. Fewer, more capable tools outperform many granular ones.
- Merge Coupled Steps: Combine dependent actions (e.g.,
validate+execute) into a single intent-based tool. - Reduce Search Space: Minimizing the number of available tools reduces the probability of selection errors.
2. Tools as Contracts
Strict typing and clear error handling ensure predictable behavior.
- Schema-First: Define precise inputs using JSON Schema or equivalent.
- Contextual Errors: Return actionable failure reasons and correction hints to enable agent self-correction.
3. Response Optimization
Manage tool output volume to preserve the context window.
- Verbosity Control: Include parameters to specify detail levels (e.g.,
summaryvsfull). - Signal-to-Noise: Strip boilerplate and redundant metadata from results.
4. Semantic Clarity
Names and descriptions dictate selection accuracy.
- Action-Object Naming: Use clear
verb_nounconventions (e.g.,fetch_record). - Effect-Based Descriptions: Explain when to use the tool and what its side effects are.
When to Activate
- Creating new tools or MCP servers.
- Refactoring "confused" agents with high tool-count environments.
- Optimizing token usage for tool-heavy workflows.
Inspired by the Agent Skills for Context Engineering collection.