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DanielTomaro13

sportsdata-mcp

jolpicaf1_constructors

Read-onlyIdempotent

Retrieve F1 constructors (teams) for a specific season or all-time, returning constructor ID, name, nationality, and URL. Input a season year to filter results.

Instructions

Constructors (teams) — all-time, or those entered in one season.

Returns: {MRData:{ConstructorTable:{season, Constructors:[{constructorId, name, nationality, url}]}}}

Example: 2024 constructors {"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.
Behavior3/5

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

Annotations already declare readOnlyHint, openWorldHint, and idempotentHint, so the safety profile is covered. The description adds useful context about the return structure (MRData) and states that no auth is needed, but it does not explain pagination via limit or any quirks about the required season parameter. It adds some value but not a rich behavioral layer.

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 compact and well-structured: a one-line scoping statement, a return format block, an example, and an auth note. Every section earns its place, though the all-time/season ambiguity adds slight unnecessary confusion. It is efficiently formatted with clear line breaks.

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

Completeness3/5

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

Given there is no output schema, the description's inclusion of the return shape is helpful. However, it lacks clarity on the all-time mode versus the required season parameter, and doesn't discuss the limit behavior or why openWorldHint might matter. For a simple list tool with strong annotations, it is adequate but leaves room for user confusion.

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

Parameters2/5

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

Schema coverage is 100%, so the baseline is 3, but the description introduces ambiguity: it claims support for 'all-time' constructors while the schema marks 'season' as required, with no explanation of how to request all-time data. The example only shows a season-specific call, and the limit parameter's semantics are left entirely to the schema. This confuses rather than clarifies the parameters.

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

Purpose4/5

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

The description clearly names the resource (constructors/teams) and the scoping dimension (all-time vs. a single season), which distinguishes it from the sibling jolpicaf1_constructor_standings. The verb is implicit rather than explicit ('Constructors' as a noun), but the intended action of retrieving a list is unambiguous.

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 gives the two key use contexts (all-time or one season) and provides a concrete example with the season parameter. However, it does not explicitly state when to prefer this tool over siblings like jolpicaf1_races or jolpicaf1_constructor_standings, nor does it mention any exclusions or fallbacks.

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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