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Scored across 5 tools
Each tool has a clearly distinct purpose with no overlap: execute_python_code runs Python code directly, run_skill_script executes scripts within skills, skill_crud manages skill metadata, skill_env_crud handles environment variables, and skill_files_crud manages files. The descriptions explicitly differentiate them, preventing misselection.
The naming follows a consistent snake_case pattern (e.g., execute_python_code, run_skill_script), but there is a minor deviation: skill_crud, skill_env_crud, and skill_files_crud use a 'skill_*_crud' format, which is slightly different from the verb_noun style of the first two tools. However, the pattern is still readable and mostly predictable.
With 5 tools, the count is well-scoped for a skill management server. Each tool covers a distinct aspect of the domain (execution, script running, CRUD operations for skills, env vars, and files), and none feel redundant or missing, making the set appropriately sized for the purpose.
The tool set provides complete coverage for skill management: execute_python_code and run_skill_script handle code execution, while skill_crud, skill_env_crud, and skill_files_crud offer full CRUD operations for skills, environment variables, and files. There are no obvious gaps, and agents can perform all expected lifecycle operations without dead ends.