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Merge pull request #18 from aibtcdev/fix/update-agent-account
Update agent account info
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SUMMARY.md

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- [Error Handling](aibtc-cache/error-handling.md)
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- [Utilities](aibtc-cache/utilities.md)
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## Prompting
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- [Action Proposal Prompts](prompting/action-proposal-prompts.md)
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- [Agent Account Prompts](prompting/agent-account-prompts.md)
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## Links
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- [Common Terms](introduction/common-terms.md)
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- [Cache Service Documentation](templates/cache-service-documentation.md)
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- [Cache Endpoint Documentation](templates/cache-endpoint-documentation.md)
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- [Agent Tool Documentation](templates/agent-tool-documentation.md)
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- [Prompting Documentation](templates/prompting-documentation.md)
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### Example Implementations
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agent-tools/README.md

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3. **Error Handling**: Tools provide standardized error responses
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4. **Return Values**: Tools return structured data that can be parsed by agents
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## Effective Prompting Patterns
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When using agent tools, following consistent prompting patterns helps ensure successful execution. Each prompt should:
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1. **Start with a clear action description** that matches the tool's purpose
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2. **Include all required parameters** with appropriate values
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3. **Use parameter names that match** the tool's expected inputs
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### Example Prompting Pattern
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```
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[Action description that matches tool purpose]
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- [parameter1 name]: [parameter1 value]
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- [parameter2 name]: [parameter2 value]
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```
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### Useful Debugging Techniques
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When working with tools, these prompting patterns can help with debugging:

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