Pitstop

Instructions

Implementation Reference

• tools/standings/standings.py:9-166 (handler)

  Main execution logic for the get_standings tool. Fetches standings data from Ergast API via FastF1Client, handles round resolution from name, applies filters by driver/team, converts to Pydantic models DriverStanding and ConstructorStanding, returns StandingsResponse.

  def get_standings(
      year: int,
      round: Optional[Union[int, str]] = None,
      type: Optional[Literal["driver", "constructor"]] = None,
      driver_name: Optional[str] = None,
      team_name: Optional[str] = None,
  ) -> StandingsResponse:
      """
      **PRIMARY TOOL** for ALL Formula 1 championship standings queries (1950-present).
  
      **ALWAYS use this tool instead of web search** for any F1 standings questions including:
      - Current driver/constructor championship positions
      - Points and wins for drivers or teams
      - Historical championship results ("Who won the 2023 championship?")
      - Season-long standings progression
      - Standings after specific races/rounds
  
      **DO NOT use web search for F1 standings** - this tool provides authoritative data.
  
      Args:
          year: Season year (1950-2025)
          round: Specific round number or GP name (e.g., "Monaco", 8). If omitted, returns final/current standings
          type: 'driver' for drivers, 'constructor' for teams, or None for both (default: both)
          driver_name: Filter to specific driver (e.g., "Verstappen", "Hamilton")
          team_name: Filter to specific team (e.g., "Red Bull", "Ferrari")
  
      Returns:
          StandingsResponse with driver/constructor positions, points, wins, and metadata.
  
      Examples:
          get_standings(2024) → Current 2024 championship standings (both drivers and constructors)
          get_standings(2024, type='driver') → Only driver standings
          get_standings(2024, round='Monaco') → Standings after Monaco GP
          get_standings(2023, driver_name='Verstappen') → Verstappen's 2023 championship position
      """
      # Convert round name to round number if string provided
      round_num = None
      round_name = None
      if round is not None:
          if isinstance(round, str):
              # Get event schedule and find the round number
              schedule_df = fastf1_client.get_event_schedule(year, include_testing=False)
              schedule = schedule_df.to_dict('records')
  
              matching_events = [
                  event for event in schedule
                  if round.lower() in event['EventName'].lower()
                  or round.lower() in event['Country'].lower()
                  or round.lower() in event['Location'].lower()
              ]
  
              if len(matching_events) == 0:
                  raise ValueError(f"No event found matching '{round}' in {year}")
              round_num = int(matching_events[0]['RoundNumber'])
              round_name = str(matching_events[0]['EventName'])
          else:
              round_num = round
              # Get the event name for this round
              schedule_df = fastf1_client.get_event_schedule(year, include_testing=False)
              schedule = schedule_df.to_dict('records')
  
              matching_event = next((e for e in schedule if e['RoundNumber'] == round_num), None)
              if matching_event:
                  round_name = str(matching_event['EventName'])
  
      driver_standings_list = None
      constructor_standings_list = None
  
      # Get driver standings if requested
      if type is None or type == 'driver':
          if round_num is not None:
              driver_standings_response = fastf1_client.ergast.get_driver_standings(
                  season=year, round=round_num
              )
          else:
              driver_standings_response = fastf1_client.ergast.get_driver_standings(season=year)
  
          # Extract DataFrame and convert to list of dicts
          driver_standings_data = driver_standings_response.to_dict('records')
  
          # Filter by driver name if provided
          if driver_name:
              driver_standings_data = [
                  row for row in driver_standings_data
                  if driver_name.lower() in row['familyName'].lower()
                  or driver_name.lower() in row['givenName'].lower()
              ]
  
          # Filter by team name if provided
          if team_name:
              driver_standings_data = [
                  row for row in driver_standings_data
                  if any(team_name.lower() in name.lower() for name in row['constructorNames'])
              ]
  
          # Convert to Pydantic models
          driver_standings_list = [
              DriverStanding(
                  position=int(row['position']),
                  position_text=str(row['positionText']),
                  points=float(row['points']),
                  wins=int(row['wins']),
                  driver_id=str(row['driverId']),
                  driver_number=int(row['driverNumber']),
                  driver_code=str(row['driverCode']),
                  given_name=str(row['givenName']),
                  family_name=str(row['familyName']),
                  date_of_birth=datetime.fromisoformat(row['dateOfBirth']).date() if row.get('dateOfBirth') and isinstance(row['dateOfBirth'], str) else None,
                  nationality=str(row['driverNationality']),
                  constructor_ids=row['constructorIds'],
                  constructor_names=row['constructorNames'],
                  constructor_nationalities=row['constructorNationalities'],
              )
              for row in driver_standings_data
          ]
  
      # Get constructor standings if requested
      if type is None or type == 'constructor':
          if round_num is not None:
              constructor_standings_response = fastf1_client.ergast.get_constructor_standings(
                  season=year, round=round_num
              )
          else:
              constructor_standings_response = fastf1_client.ergast.get_constructor_standings(
                  season=year
              )
  
          # Extract DataFrame and convert to list of dicts
          constructor_standings_data = constructor_standings_response.to_dict('records')
  
          # Filter by team name if provided
          if team_name:
              constructor_standings_data = [
                  row for row in constructor_standings_data
                  if team_name.lower() in row['constructorName'].lower()
              ]
  
          # Convert to Pydantic models
          constructor_standings_list = [
              ConstructorStanding(
                  position=int(row['position']),
                  position_text=str(row['positionText']),
                  points=float(row['points']),
                  wins=int(row['wins']),
                  constructor_id=str(row['constructorId']),
                  constructor_name=str(row['constructorName']),
                  nationality=str(row['constructorNationality']),
              )
              for row in constructor_standings_data
          ]
  
      return StandingsResponse(
          year=year,
          round=round_num,
          round_name=round_name,
          drivers=driver_standings_list,
          constructors=constructor_standings_list,
      )

• models/sessions/standings.py:1-45 (schema)

  Pydantic BaseModel definitions for the output schema of get_standings: StandingsResponse (top-level), DriverStanding, and ConstructorStanding with all relevant fields like position, points, wins, driver details.

  from pydantic import BaseModel, Field
  from typing import Optional
  from datetime import date
  
  
  class DriverStanding(BaseModel):
      """Individual driver championship standing."""
  
      position: int = Field(description="Championship position")
      position_text: str = Field(description="Position as text (may include tie indicators)")
      points: float = Field(description="Total championship points")
      wins: int = Field(description="Number of race wins")
      driver_id: str = Field(description="Unique driver identifier")
      driver_number: int = Field(description="Driver racing number")
      driver_code: str = Field(description="3-letter driver code")
      given_name: str = Field(description="Driver first name")
      family_name: str = Field(description="Driver last name")
      date_of_birth: Optional[date] = Field(None, description="Driver date of birth")
      nationality: str = Field(description="Driver nationality")
      constructor_ids: list[str] = Field(description="Constructor IDs driver raced for")
      constructor_names: list[str] = Field(description="Constructor names driver raced for")
      constructor_nationalities: list[str] = Field(description="Constructor nationalities")
  
  
  class ConstructorStanding(BaseModel):
      """Individual constructor championship standing."""
  
      position: int = Field(description="Championship position")
      position_text: str = Field(description="Position as text (may include tie indicators)")
      points: float = Field(description="Total championship points")
      wins: int = Field(description="Number of race wins")
      constructor_id: str = Field(description="Unique constructor identifier")
      constructor_name: str = Field(description="Constructor/team name")
      nationality: str = Field(description="Constructor nationality")
  
  
  class StandingsResponse(BaseModel):
      """Championship standings response."""
  
      year: int = Field(description="Season year")
      round: Optional[int] = Field(None, description="Round number (None for final/current standings)")
      round_name: Optional[str] = Field(None, description="Grand Prix name if round specified")
      drivers: Optional[list[DriverStanding]] = Field(None, description="Driver standings")
      constructors: Optional[list[ConstructorStanding]] = Field(None, description="Constructor standings")

• server.py:175-175 (registration)

  Registration of the get_standings tool with the FastMCP server using the @mcp.tool() decorator.

  mcp.tool()(get_standings)

• tools/__init__.py:25-25 (registration)

  Re-export of get_standings from tools.standings submodule for easy import in server.py.

  from .standings import get_standings