My agent keeps calling the wrong tool and I need to troubleshoot the workflow

I can help troubleshoot that. To pinpoint why your agent is calling the wrong tool, I need a bit more context:

1. What agent framework are you using?

   • OpenAI Agents/Responses API, LangChain, CrewAI, AutoGen, custom tool-calling loop, etc.

2. What tools are available?

   • Tool names
   • Short descriptions
   • JSON schemas / signatures
   • Any overlaps between tool purposes

3. What does the agent actually do vs. what you expect?

   • Example user prompt
   • Wrong tool selected
   • Expected tool selected

4. Do you have the agent’s trace/logs?

   • Tool selection step
   • Model output
   • Any error messages

5. How is the workflow prompted?

   • System prompt / developer prompt
   • Any routing instructions
   • Any examples or guardrails

Common causes of wrong tool calls

• Overlapping tool descriptions: two tools sound too similar.
• Unclear intent in the prompt: the model has to guess which tool fits.
• Tool names are ambiguous: e.g. search, lookup, find.
• Missing routing rules: no instruction on when to prefer one tool over another.
• Schema mismatch: the model passes arguments that fit the wrong tool better.
• Insufficient context: the agent doesn’t know enough to choose correctly.
• Tool order bias: some frameworks favor earlier tools or recent examples.
• Multi-step confusion: the model should call one tool to retrieve info, then another to act.

Fast troubleshooting checklist

• Make tool names more specific.
• Rewrite each tool description as:
  • When to use
  • When not to use
  • Example
• Add a routing rule in the system prompt.
• Remove or reduce overlap between tools.
• Log the exact model reasoning/output if available.
• Test with 5–10 minimal prompts that isolate tool choice.

If you want, paste:

• your tool definitions,
• the prompt,
• and one failed trace,

and I’ll help identify exactly why it’s choosing the wrong tool and suggest a fix.