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Surya96t

fastf1-mcp-server

get_constructor_standings

Retrieve Formula 1 constructor championship standings for any season from 1958 onward, optionally after a specific race round.

Instructions

Get constructor championship standings.

Data source: Ergast API (via FastF1) Coverage: 1958-present (constructor championship started 1958)

Args: year: Season year after_round: Standings after specific round (default: latest)

Returns: Ordered list of constructors with: position, name, nationality, points, wins

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearYes
after_roundNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are present, so the description carries the full burden. It mentions data source and historical coverage, which is helpful. However, it does not disclose behavioral traits such as error handling, read-only nature (though implied), or performance characteristics.

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

Conciseness5/5

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

The description is structured with clear sections: main statement, data source, coverage, args, returns. Every sentence adds value, and there is no redundancy or wasted words.

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

Completeness4/5

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

Given the complexity (simple read operation) and the presence of an output schema (mentioned in description), the description adequately covers inputs and output format. Minor gap: no behavioral context like rate limits or error handling, but overall complete for typical use.

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

Parameters4/5

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

Schema description coverage is 0%, but the description adds meaningful context: 'year: Season year' and 'after_round: Standings after specific round (default: latest)'. This clarifies the purpose and default behavior beyond the schema's type definitions.

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 description clearly states 'Get constructor championship standings' with specific verb and resource. It distinguishes from sibling tools like get_driver_standings by focusing on constructors and provides coverage details (1958-present).

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 lists arguments and explains 'after_round' with default behavior, but does not explicitly state when to use this tool versus alternatives or provide any when-not guidance. The context is implied by the tool name and sibling differentiation.

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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