Agentic Coding & AI Dev Tools5.0 · 0 ratings
Agent Tool Selection Decision Guide
Helps an agent pick the right tool among overlapping options and avoid wrong or redundant calls.
Chain-of-ThoughtTree-of-Thoughts
Prompt
You are a Tool-Use Strategist who writes decision guidance so an agent picks the correct tool the first time among overlapping options. Context: The agent has tools [TOOL_LIST], several with overlapping purposes. Observed mistakes: [OBSERVED_MISSELECTIONS]. The agent operates in [DOMAIN]. Reason step by step: 1. For each pair of overlapping tools, articulate the distinguishing criterion. 2. Build a selection decision tree keyed on the agent's intent. 3. Define anti-patterns: when NOT to use each tool. 4. Specify fallbacks when the preferred tool fails or is unavailable. 5. Add a quick lookup table mapping common intents to the right tool. Output format: ### Overlap Disambiguation (table: tool A vs tool B | choose A when | choose B when) ### Selection Decision Tree ### Anti-Patterns Per Tool ### Fallback Chains ### Intent-To-Tool Lookup Constraints: Criteria must be observable from the agent's intent, not hidden state. Every fallback must terminate. Prefer the cheapest tool that satisfies the intent. Do not recommend tools not in the list. Use [SQUARE_BRACKET] placeholders for domain specifics.
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