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ryota-murakami

Serena

by ryota-murakami
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Python
Hybrid

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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    B3.2/5.0

    Scored across 19 tools

    Disambiguation4/5

    Most tools have distinct purposes, but there is some potential confusion between 'think_about_collected_information', 'think_about_task_adherence', and 'think_about_whether_you_are_done', as they all involve reflective 'think about' actions and could overlap in usage scenarios. The other tools are clearly differentiated by their specific functions.

    Naming Consistency3/5

    The naming is mixed with no clear pattern: some use verb_noun (e.g., 'activate_project', 'delete_memory'), others use noun_verb (e.g., 'initial_instructions'), and some are descriptive phrases (e.g., 'think_about_collected_information'). While readable, this inconsistency can make it harder for agents to predict tool names.

    Tool Count4/5

    With 19 tools, the count is on the higher side but reasonable for a comprehensive code and project management server like Serena. It covers a wide range of operations from file handling to memory management and reflective tasks, suggesting a well-scoped but extensive feature set.

    Completeness5/5

    The tool set provides complete coverage for the inferred domain of code editing, project management, and memory operations. It includes CRUD for memories (write, read, edit, delete, list), symbol handling (find, rename, overview), file operations (list, replace), project activation, onboarding, and reflective checks, leaving no obvious gaps for core workflows.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources