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SAGE

by PsYcGoD
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Python
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    TDQS

    A4/5.0

    Scored across 11 tools

    Disambiguation5/5

    Each tool targets a distinct concern: reading/searching files, running commands, running workflows, recovering history, and explaining failures. Potential overlaps such as sage_call vs sage_agentic_run vs sage_run_workflow or sage_explain_error vs sage_suggest_fix are clearly separated by purpose and behavior.

    Naming Consistency4/5

    All tools share the sage_ prefix and lowercase snake_case style, and most follow a verb_noun pattern like sage_explain_error and sage_run_workflow. A few names such as sage_grep, sage_call, sage_tree, and sage_agentic_run break the pattern, but the overall convention is still predictable.

    Tool Count5/5

    Eleven tools is a well-scoped size for a developer command execution and context management server. Each tool addresses a distinct workflow step without obvious redundancy or bloat.

    Completeness4/5

    The set covers command execution, workflow runs, failure explanation, fix suggestions, history lookup, raw output recovery, and compressed file/search navigation. A minor gap is the lack of a tool to enumerate available project workflows, but agents can work around this by attempting a workflow or checking project files.

    Maintenance

    ActivityActive
    ResponsivenessNo issues

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