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sledmonkey

FlightPlan

by sledmonkey
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Python
Remote

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    TDQS

    A4.4/5.0

    Scored across 6 tools

    Disambiguation4/5

    The lifecycle roles (post, list, get, update, complete, mark_landed) are clearly distinct, but collision-check functionality is spread across three tools: post_intent returns overlaps, list_intents offers glob/semantic checks, and update_intent re-runs them mid-session. An agent could reasonably hesitate over which to use for a given check, though the descriptions do clarify the intended contexts.

    Naming Consistency5/5

    All names are snake_case with a leading verb (post_intent, list_intents, get_intent, update_intent, complete_intent, mark_intent_landed). The pattern is predictable and the slightly longer mark_intent_landed still fits the verb_noun convention.

    Tool Count5/5

    Six tools is well-scoped for a lightweight intent-coordination registry: each tool maps to a distinct lifecycle step (create, query, read, revise, close, correct-landing-status). Nothing feels padded or missing at the count level.

    Completeness4/5

    The surface covers the full intent lifecycle: create, list/search, get, update/heartbeat, complete (including abandonment), and post-hoc landing correction. The main minor gap is the absence of an explicit delete/retract for erroneous intents, and querying is limited to summary/glob/time rather than author or kind filters.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources