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DanielTomaro13

sportsdata-mcp

sportsbet_popular_promotions

Retrieve trending promotions for a sportsbook provider and client, returning IDs, titles, and URLs.

Instructions

Trending / popular promotions for a promo provider + client.

Returns: {promotions:[{id, title, url}]}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
clientIdYes
loggedInNo
providerYes
Behavior2/5

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

No annotations are provided, so the description must fully convey behavioral traits. It only states 'returns' and the output format, but does not disclose whether the operation is read-only, any side effects, authentication needs, or rate limits. Missing essential behavioral context.

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 concise with two sentences, no wasted words. The first sentence states the purpose, and the second provides the return shape. It is efficient, though slightly more structure (e.g., separating purpose from output) could improve clarity.

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 no output schema, the description adequately shows the return format. However, it misses explanations for two parameters (limit, loggedIn) and does not note if the tool is read-only or any other important context. It is adequate but has noticeable gaps.

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?

With 0% schema description coverage, the description should compensate by explaining parameters. It hints that 'provider' and 'clientId' are needed, but does not cover 'limit' or 'loggedIn'. The example output structure adds some value, but parameter semantics are largely absent.

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 it returns trending/popular promotions for a provider and client, with a specific verb and resource. However, it does not differentiate from sibling tools that also fetch promotions (e.g., betr_promotions, pointsbet_promotions), though the name implies a focus on 'popular' ones.

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 vs alternatives like sportsbet_trending_sgm or other promotion-related tools. It does not mention prerequisites, context, or when not to use it.

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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