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leifdavisson

agy-ollama-mcp

by leifdavisson
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Python
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    TDQS

    B3.2/5.0

    Scored across 7 tools

    Disambiguation2/5

    The tools have significant overlap: local_summarize_and_extract, local_chunked_summary, and local_map_reduce_file all perform summarization/compression with only subtle differences. This can confuse an agent about which to use. Other tools are clearer, but the redundant trio lowers the score.

    Naming Consistency3/5

    All tools use a 'local_' prefix and snake_case, which is consistent, but the names are not fully uniform: 'summarize_and_extract' combines two actions while others use a single verb, and 'chunked_summary' vs 'map_reduce_file' are stylistic variations. The patterns are mostly consistent but not perfectly aligned.

    Tool Count5/5

    Seven tools is a reasonable, well-scoped number for a local Ollama helper. It covers core operations without being overwhelming, fitting comfortably within the typical 3-15 range.

    Completeness4/5

    The tools cover the main capabilities (code generation, summarization, extraction, model management, prewarming) well. However, the presence of three overlapping summarization tools suggests redundancy rather than a missing feature; the domain appears largely covered, with minor gaps like model downloading or inference not being addressed.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources