FirstCycling MCP Server
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TDQS
Scored across 18 tools
The tools have clear distinctions between race-focused and rider-focused operations, but there is significant overlap within rider tools. For example, get_rider_best_results, get_rider_grand_tour_results, get_rider_monument_results, get_rider_one_day_races, get_rider_race_history, get_rider_stage_races, and get_rider_year_results all retrieve subsets of race results, which could confuse an agent about which to use for specific queries. The descriptions help differentiate, but the boundaries are fuzzy.
All tool names follow a consistent snake_case pattern with a verb_noun structure (e.g., get_race_details, search_rider). The naming is predictable and readable throughout, with no deviations in style or convention, making it easy for an agent to parse and understand the tool purposes.
With 18 tools, the count is on the higher side for a cycling data server, bordering on heavy. While the domain of professional cycling is broad, the tool set includes many overlapping rider result tools that could potentially be consolidated, making it feel slightly bloated but still within a reasonable scope.
The tool surface covers the cycling domain well with race details, results, rider information, and search functionalities. However, there are minor gaps, such as no tools for team details beyond rider affiliations, race calendars, or live race data, which agents might need for comprehensive coverage. The core operations are well-represented, allowing agents to work around these omissions.