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Context Loom

by ownasquare
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Python

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    TDQS

    C2.9/5.0

    Scored across 7 tools

    Disambiguation4/5

    Each tool targets a fairly distinct operation within the hydration pipeline: hydrate_message compiles an envelope, get_context reads one by id, explain_selection explains choices, record_usage writes metrics, thread_stats/workspace_status read state, and resolve_resource_version recovers omitted content. Minor overlap exists between hydrate_message and get_context (both concern envelopes) and between record_usage and thread_stats (both concern token metrics), but descriptions keep them separable.

    Naming Consistency4/5

    Most tools follow a clear verb_noun pattern (hydrate_message, record_usage, get_context, explain_selection, resolve_resource_version), but thread_stats and workspace_status drop the verb and use noun_noun, breaking the otherwise consistent convention. Still readable and largely predictable.

    Tool Count5/5

    Seven tools is well-scoped for a context-hydration and usage-tracking server, with each tool covering a distinct part of the pipeline (hydrate, read, explain, record, stats, status, resolve). No redundant or filler tools.

    Completeness4/5

    The surface covers the core lifecycle: hydrate, read, explain, record usage, inspect stats/status, and recover omitted resources. Gaps exist for thread deletion/forgetting, listing threads, or bulk config, but agents can work around these for the primary workflows.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources