Enforce capped, validated tool-use loops with structured error handling.
npx skills add https://github.com/f4rkh4d/forge-skill --skill forge-tool-use
Please help me install this Agent Skill. Skill: forge-tool-use Source: https://github.com/f4rkh4d/forge-skill/tree/main/skills/llm/forge-tool-use Command: npx skills add https://github.com/f4rkh4d/forge-skill --skill forge-tool-use
Unchecked LLM tool/function loops waste tokens, can spin forever, and often fail by throwing exceptions or returning unstructured results, leading to brittle agent behavior.
Instruct your AI agent to follow the forge-tool-use discipline by using a tool-use loop with a fixed max iterations, validating tool inputs/outputs, and returning tool results as structured content (not stringified prose) even when failures occur.
High-intent search queries and answers about installing and using this skill.
LLM tool loops spin forever without a hard iteration cap. Applying a capped, observable tool-use loop enforces predictable termination, stopping runaway behavior and wasted tokens during parallel tool calls.
To structure tool errors as data, return tool failures as structured content rather than letting exceptions crash the loop. This robust error-as-data handling enables the LLM to recover from execution failures.
The best way to validate function calling arguments is using schema-driven tool definitions. Validating structured inputs and outputs against schemas distinguishes between a wrong model tool call and an actual tool execution failure.
Yes, schema validation is essential for parallel tool calls. Validating tool arguments and outputs against schemas enables recovery from execution failures and ensures predictable behavior across multiple concurrent function calls.
Context budgeting prevents unbounded token consumption by managing the context window during iterative tool execution. Combined with a fixed max iteration loop, it ensures predictable termination and reduces wasted tokens.
Fix brittle agent behavior by formatting tool outputs as structured content instead of stringified prose. Disciplined result formatting combined with schema validation ensures reliable consumption of tool execution results.
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