Design tool APIs for language model agents with consolidated architectures.
npx skills add https://github.com/AmidVoshakul/chatorai --skill tool-design-amidvoshakul
Please help me install this Agent Skill. Skill: tool-design Source: https://github.com/AmidVoshakul/chatorai/tree/main/assets/skills/tool-design Command: npx skills add https://github.com/AmidVoshakul/chatorai --skill tool-design-amidvoshakul
This skill addresses the common failure modes in agent-tool interactions, such as ambiguity, poor parameter definition, and inefficient tool selection, which prevent agents from performing reliably.
Use the tool-design skill to analyze my current tool definitions and suggest improvements for better agent performance.
High-intent search queries and answers about installing and using this skill.
Agent tool selection failures occur when tool APIs have ambiguity, poor parameter definitions, or inefficient designs. This skill addresses these failure modes by applying architectural reduction and standardizing tool naming conventions to ensure agents understand exactly when and how to use a tool.
Designing tool APIs for agents requires applying principles of consolidation and architectural reduction. You replace complex, fragile tool wrappers with primitive, general-purpose capabilities, implementing robust error-handling patterns for agent recovery and adhering to clear, unambiguous documentation standards.
Architectural reduction is the process of replacing complex, fragile tool wrappers with primitive, general-purpose capabilities that models can navigate more effectively. This minimizes token consumption and maximizes agent success rates by consolidating redundant functions into comprehensive tools.
Writing tool descriptions as high-quality prompts requires treating documentation as prompt engineering. You must ensure descriptions are clear and unambiguous so agents understand exactly when and how to use a tool, which minimizes token consumption and prevents execution failures.
Debugging tool-related execution failures involves analyzing current tool definitions for ambiguity and poor parameter definition. This skill suggests improvements by implementing robust error-handling patterns for agent recovery and standardizing tool naming conventions to prevent future failures.
FVossebeldAnalyze and standardize agent-facing tool descriptions and invocation schemas.
faisalanjumTest Task tool availability for spawning sub-agents in forked Skills.
northseadlDesign effective tool APIs for AI agents with clear parameters and error handling.
jaydubya818Guide tool design for language model agents with clarity and consolidation principles.
