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DanielTomaro13

sportsdata-mcp

jolpicaf1_constructor_standings

Read-onlyIdempotent

Retrieve Formula 1 constructors' championship standings for a specified season, including each team's position, points, and wins.

Instructions

Constructors' championship standings.

Returns: {MRData:{StandingsTable:{StandingsLists:[{season, round, ConstructorStandings:[{position, points, wins, Constructor:{constructorId, name, nationality}}]}]}}}

Example: 2024 constructors' championship {"season": "2024", "format": "json"}

Auth: none needed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoPage size (max 100).
formatNoLeave as json.json
seasonYesSeason year, or 'current'. Required — part of the URL path.
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint, so the safety profile is covered. The description adds value by disclosing the return JSON structure and explicitly stating 'Auth: none needed.' This is more than sufficient for a read-only tool with no destructive behavior.

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 concise and front-loaded with the core purpose. It includes a useful example and an auth note, with no wasted words. Every sentence serves a purpose.

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?

The description compensates for the lack of an output schema by providing a detailed return structure. It also includes an example and auth clarification. It does not mention pagination or limit behavior, but these are covered in the schema and are not critical for a simple read-only standings tool.

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 coverage is 100% with clear descriptions for all parameters (season, limit, format). The description's example shows season and format in action, which is helpful but adds little beyond the schema. The limit parameter is not mentioned in the description, leaving the schema to carry that burden.

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 the resource: 'Constructors' championship standings.' It is unambiguous and distinguishes from siblings like jolpicaf1_driver_standings by explicitly specifying 'Constructors'. The example further clarifies the scope (2024 season). The verb is implicit but the intent is 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 does not explicitly state when to use this tool versus alternatives such as jolpicaf1_driver_standings. The example provides a concrete use case, but there are no exclusions or alternative recommendations. Usage is implied by the tool name and description rather than stated.

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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