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DanielTomaro13

sportsdata-mcp

tab_racing_futures_meetings

Read-onlyIdempotent

Retrieve future racing meetings with ante-post markets, including Cup outrights, race names, dates, and links. Optionally include promotions and bonus-bet offers.

Instructions

Futures racing meetings (ante-post / long-dated markets like Cup outrights).

Returns: {meetings:[{meetingName, raceType, races:[{raceName, meetingDate, _links}]}]}

Auth: works without a key; TAB_CLIENT_ID or TAB_CLIENT_SECRET or TAB_REFRESH_TOKEN unlocks more if set.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
returnPromoNoInline promotions.
jurisdictionNoState jurisdiction.NSW
returnOffersNoInline bonus-bet offers.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed3 schema fields changedv0.24.0
    • addedInput schema / properties / jurisdiction / description
      Added value: +"State jurisdiction."
    • addedInput schema / properties / returnOffers / description
      Added value: +"Inline bonus-bet offers."
    • addedInput schema / properties / returnPromo / description
      Added value: +"Inline promotions."
  2. Addedv0.1.1

TDQS

A3.9/5.0
Behavior4/5

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

Beyond the readOnlyHint, openWorldHint, and idempotentHint annotations, the description discloses the return envelope (`{meetings:[...]}`) and auth behavior (works without a key; TAB_* environment variables unlock more). This adds useful operational context beyond the structured annotations.

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 compact and well-structured: a definition line, a return-shape line, and an auth line. Each sentence adds distinct information without redundancy or filler.

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

Completeness5/5

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

For a tool with zero required parameters and no output schema, this description is self-sufficient: it explains the response structure, notes authentication requirements, and gives enough market context to inform correct invocation. No critical information appears missing for basic use.

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?

All three parameters (`returnPromo`, `jurisdiction`, `returnOffers`) are already covered by the input schema with descriptions, so the baseline applies. The tool description adds no parameter-specific guidance, but the schema already provides adequate meaning.

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 identifies the resource as futures racing meetings (ante-post / long-dated markets like Cup outrights) and the returned `meetings` array signals a list operation. However, it does not explicitly distinguish itself from closely related siblings such as `tab_racing_futures_race` beyond the word 'meetings' in the name.

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 provides useful conceptual context about what futures markets are, but it does not state when to use this tool versus alternatives like `tab_racing_futures_race` or `sportsbet_racing_futures`. Usage timing is implied by the resource type rather than explicitly guided.

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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