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Scored across 8 tools
Each tool has a clearly distinct purpose with no ambiguity. The tools are well-separated by function: discovery across researchers, getting different types of researcher-specific content (context, datasets, papers, repos, profile), listing researchers, and network mapping. The descriptions explicitly differentiate similar tools like get_context vs get_profile.
All tools follow a consistent verb_noun pattern with clear, descriptive names. The naming convention is perfectly uniform: discover, get_context, get_datasets, get_network_map, get_papers, get_profile, get_repos, list_researchers. Every tool name immediately communicates its function.
With 8 tools, this is well-scoped for a research platform. Each tool earns its place by covering distinct aspects of researcher data exploration: discovery, listing, detailed profiling, and specific content types. The count is appropriate for the domain without being overwhelming or insufficient.
The tool surface provides complete coverage for exploring a research network. It includes discovery across researchers, listing all researchers, comprehensive profiling (both summary and detailed context), and access to all research outputs (papers, datasets, repositories). The network map adds valuable geographic context, creating a well-rounded set with no obvious gaps.