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Scored across 17 tools
Each tool has a clearly distinct purpose: loading context, retrieving metadata, reading portions, decomposing, fetching chunks, searching, executing code, managing variables, managing answers, and session management. No two tools are interchangeable, and overlapping tools like rlm_search_context and rlm_find_all are differentiated by regex vs. substring search.
All tool names follow a consistent rlm_<verb>_<noun> pattern with snake_case (e.g., rlm_load_context, rlm_get_context_info, rlm_decompose_context). Verbs and nouns are clear and predictable, making the API easy to navigate.
With 17 tools, the set is slightly above the ideal 3-15 range, but the count is justified by the comprehensive workflow: context loading, analysis, decomposition, search, code execution, variable storage, answer management, and session lifecycle management. Each tool adds meaningful functionality.
The tool surface covers the full RLM processing lifecycle: load context, inspect structure, read specific sections, decompose into chunks, retrieve chunks, search, manipulate via code, store intermediate variables, build answers incrementally, and manage sessions. There are no obvious gaps or dead ends for the stated purpose.