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Scored across 11 tools
Tools are generally distinct, with prompt CRUD operations clearly separated from optimization workflows. However, 'analyze_data_driven_optimize_results' and 'generate_html_report' could be confused as both relate to results analysis, and 'call_dashscope_mcp' is an outlier with a different purpose.
All tools follow a consistent snake_case verb_noun pattern (e.g., create_prompt, run_data_driven_optimize, write_data_driven_optimize_config). The naming is predictable and clear, with no mixed conventions.
11 tools is appropriate for a Vertex AI prompt optimization and management server. It covers prompt CRUD, optimization jobs, config generation, analysis, and reporting without being excessive or insufficient.
The tool surface covers prompt lifecycle (CRUD) and key optimization workflows (data-driven, few-shot, config, analysis, report). Minor gaps exist, such as no dedicated tool to fetch optimization job status separately (though wait_for_completion is an option), and 'call_dashscope_mcp' feels extraneous.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
analyze_data_driven_optimize_resultscall_dashscope_mcpcreate_promptdelete_promptgenerate_html_reportlist_promptsread_promptrun_data_driven_optimizerun_few_shot_optimizationupdate_promptwrite_data_driven_optimize_config
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