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praneethravuri

Pitstop

by praneethravuri
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Python
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4.1/5.0

    Scored across 22 tools

    Disambiguation4/5

    Most tools have distinct purposes targeting specific F1 data types like telemetry, news, or standings, but some overlap exists. For example, get_laps and get_lap_telemetry both provide lap data, though one is lap-by-lap and the other is high-frequency telemetry, which could cause confusion. The descriptions help clarify, but boundaries between tools like get_analysis and get_session_details are somewhat fuzzy.

    Naming Consistency5/5

    All tool names follow a consistent snake_case verb_noun pattern with clear prefixes like 'get_', 'compare_', or 'analyze_'. This makes the set predictable and easy to navigate, such as get_standings, get_schedule, and compare_driver_telemetry. There are no deviations in naming conventions.

    Tool Count3/5

    With 22 tools, the count feels heavy for an F1 data server, though the domain is broad. Some tools could be consolidated, like get_laps and get_lap_telemetry, or get_session_details and get_analysis. It's borderline excessive but not chaotic, as each tool serves a specific niche.

    Completeness5/5

    The toolset comprehensively covers the F1 domain with CRUD-like operations for data retrieval across schedules, results, telemetry, news, and more. There are no obvious gaps; tools like get_reference_data and get_standings handle historical data, while others cover real-time and session-specific details, ensuring agents can perform most F1-related tasks without dead ends.

    Maintenance

    ActivityActive
    ResponsivenessNo issues

    Resources