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DanielTomaro13

sportsdata-mcp

tab_trending_props

Retrieve trending sports propositions and bets from TAB bookmakers. Returns details like sport, competition, match name, and match ID.

Instructions

Trending sports propositions / bets across the book.

Returns: [{sportName, competitionName, matchName, matchId, ...}] (top-level array)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
jurisdictionNoNSW
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It only states it returns trending props and shows the result structure, but omits behavioral details like how 'trending' is determined, rate limits, or data freshness.

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?

Two sentences, concise and front-loaded with the core purpose. No fluff or redundant information.

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 includes the return format, which is helpful. However, it lacks details on the meaning of 'propositions', data limits, or pagination. For a simple tool, it is adequate but not comprehensive.

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 description coverage is 0%, so the description must explain parameters. It does not mention the 'jurisdiction' parameter, its default, or its effect. The return format is useful but not a substitute for parameter documentation.

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 retrieves 'trending sports propositions / bets' and provides the return format with specific fields. It distinguishes itself from sibling tools by focusing on trending props, though it doesn't name specific alternatives.

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 other tools like tab_featured_events or tab_match_markets. It doesn't specify context such as typical use cases or alternatives.

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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