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DanielTomaro13

sportsdata-mcp

nascar_weekend_feed

Read-onlyIdempotent

Get complete NASCAR race weekend data: finishing order with laps led, points, status, plus practice and qualifying results for Cup, Xfinity, or Truck series.

Instructions

One race weekend in full: the finishing order with laps led, points and status, plus every practice and qualifying run.

Returns: {weekend_race:[{race_id, race_name, track_name, results:[{finishing_position, starting_position, car_number, driver_fullname, team_name, laps_completed, laps_led, points_earned, status, delta_leader}], caution_segments, race_comments}], weekend_runs:[{run_type, run_name, results:[{finishing_position, driver_name, best_lap_time, best_lap_speed}]}]} — weekend_race is the race, weekend_runs is practice + qualifying. WARNING: results is NOT sorted and INCLUDES non-starters with finishing_position 0 (DNQ/DNS). Verified on the 2024 Daytona 500, where results[0] is a driver who did not qualify. The winner is the row with finishing_position == 1 — never results[0].

Example: One Cup race weekend {"season": 2024, "series": 1, "raceId": 5376}

Auth: none needed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
raceIdYesRace id from nascar_race_list (the `race_id` field). Required — part of the URL path.
seasonYesSeason year. Required — part of the URL path.
seriesNo1 = Cup, 2 = Xfinity, 3 = Craftsman Truck.
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, openWorldHint, and idempotentHint. The description adds a valuable warning that results are unsorted, include non-starters with finishing_position 0, and that the winner must be found via finishing_position == 1, not results[0]. This goes beyond annotations to disclose a real data quirk.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is lengthy due to the explicit return structure and warning, but every part earns its place: there's no output schema, so the return structure is essential; the sorting warning is critical for correct data interpretation; the example and auth note are useful. It is front-loaded with a clear summary.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given there's no output schema, the description fully compensates by specifying the entire return JSON structure, highlighting the non-sorted/non-starter quirk, providing a concrete example, and noting auth requirements. Combined with the well-covered schema and annotations, the tool is fully understandable for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so parameters are fully documented. The description adds a concrete example and notes that raceId comes from nascar_race_list, but this is marginal. It doesn't introduce new parameter semantics beyond what the schema already provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The opening line specifically states what the tool does: returns a complete race weekend including finishing order, laps led, points, status, plus practice and qualifying runs. This clearly distinguishes it from sibling tools like nascar_race_list, which provides a list of races, making the purpose unmistakable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage through the example (using raceId from nascar_race_list) and the mention of race weekend vs race list, but it doesn't explicitly state when to use this tool instead of alternatives or list exclusions. The guidance is contextual rather than explicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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