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Scored across 16 tools
The repository analysis tools form a confusing cluster: analyze_repository, analyze_batch, analyze_batch_summary, and analyze_batch_auto all analyze a repository but differ in output format, pagination, and token budget. Additionally, detect_languages and get_supported_languages both return language lists with only subtle differences. This overlap creates real ambiguity for an agent despite the descriptive text.
All tool names consistently use a verb_noun structure with snake_case, such as analyze_repository, set_config_override, and onboard_project. The pattern is predictable and easy to navigate.
At 16 tools, the server is slightly over the ideal 3-15 range, but the tools cover distinct aspects of the analysis workflow: snippet analysis, repository analysis, batch processing, reporting, configuration, and onboarding. The count feels justified rather than bloated.
The tool set covers the core workflow of language detection, code and repository analysis, paginated scanning, summarization, remediation prompt generation, agent task creation, and configuration management. Minor gaps exist, such as no explicit rule-listing tool, but the export_rule_detector_mapping and get_supported_languages partially compensate.