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DanielTomaro13

sportsdata-mcp

betr_featured_racing

Returns editorially curated racing events with carousel ordering and promotion titles. Enables display of featured races with custom promotional content.

Instructions

Editorially featured racing events (carousel order, promo titles).

Returns: {ContentfulFeaturedEvent:[{EventOrder, EventID, EventName, PromotionTitle}]}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations provided, so the description carries full burden. It does not disclose whether the operation is read-only, requires authentication, or how the data is managed (e.g., caching, update frequency). The behavior is minimally described.

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 brief and to the point, stating the purpose and return structure without unnecessary words. It is well-structured for a simple tool.

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 the tool's simplicity (no parameters, no output schema), the description covers the basic purpose and return type. However, it lacks context about when the data is updated or how 'featured' is determined, which could help agents decide when to call this tool.

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?

The tool has no parameters, and schema coverage is 100%. The description does not need to add parameter semantics since there are none. Baseline score of 4 is appropriate.

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 states the tool returns 'editorially featured racing events' with carousel order and promo titles, and provides the return structure. However, it does not differentiate from similar tools like betr_all_promotions or betr_race, which could lead to confusion.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives. With many sibling tools related to racing and promotions, usage context is essential but missing.

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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