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px4-flight-debugger

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    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    A3.5/5.0

    Scored across 12 tools

    Disambiguation4/5

    Most tools have clearly distinct scopes: discovery (list_logs, scan_logs), single-flight narrative (log_summary, flight_timeline, log_messages), estimator analysis (estimator_health, estimate_vs_truth), and data access (list_topics, topic_data, plot_series). The main friction is between log_summary, flight_timeline, and log_messages, which all describe 'what happened in a flight' from slightly different angles, and between list_logs and scan_logs, though the descriptions do differentiate them well enough.

    Naming Consistency4/5

    All names are snake_case and readable, with no mixed casing conventions. However the pattern is not uniformly verb_noun: list_logs, scan_logs, plot_series use verbs while log_summary, flight_timeline, estimator_health, topic_data are noun phrases, creating a minor stylistic inconsistency.

    Tool Count5/5

    12 tools is well within the ideal range and each one maps to a distinct analysis need (discovery, summarization, event ordering, EKF health, truth comparison, setpoint tracking, params, topics, plotting). No tool feels redundant or padded.

    Completeness4/5

    The surface covers discovery, per-flight narrative, estimator diagnostics, parameters, uORB topics, and plotting, which is strong lifecycle coverage for flight log debugging. Minor gaps remain, such as raw/full-resolution topic export (topic_data only gives stats plus an optional downsampled table) and no dedicated actuator/motor or battery analysis path, though plot_series partially compensates.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources