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DanielTomaro13

sportsdata-mcp

entain_racing_meeting

Read-onlyIdempotent

Fetch every race meeting and race for a date and timezone. Returns normalized tables for meetings, races, venues, and countries to assemble a full race card.

Instructions

All race meetings + races for one date (normalised UUID-keyed tables).

Returns: {compounds, domestic_countries, meetings:{}, races:{}, venues:{}}

Example: Melbourne card for a given day {"date": "", "timezone": "Australia/Melbourne"}

Auth: works without a key; ENTAIN_REFRESH_TOKEN unlocks more if set.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateYesRace date, YYYY-MM-DD.
timezoneYesIANA timezone, e.g. Australia/Melbourne.

Schema Changelog

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

  1. Changed2 schema fields changedv0.24.0
    • addedInput schema / properties / date / description
      Added value: +"Race date, YYYY-MM-DD."
    • addedInput schema / properties / timezone / description
      Added value: +"IANA timezone, e.g. Australia/Melbourne."
  2. Addedv0.1.1

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare read-only, open-world, and idempotent behavior. The description adds useful context beyond those: the normalized UUID-keyed table structure, the top-level return fields, and the auth behavior (works without a key, with an optional refresh token unlocking more). This is meaningful behavioral and data-shape context with no contradiction.

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 organized: scope, return keys, example, and auth. It is front-loaded with the most important selection information and contains no filler or redundant restatement of the tool name.

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 two-parameter, read-only tool with no output schema, this is complete: required parameters are documented in the schema, the return shape is enumerated, auth requirements are stated, and an example clarifies timezone handling. The return-key list is especially valuable because no output schema exists.

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?

Schema description coverage is 100%, so the baseline is 3. The example reinforces the date/timezone pattern and the 'Melbourne card' use case, but it does not add substantial semantics beyond the schema's own parameter descriptions.

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 first sentence clearly states the tool returns all race meetings and races for a single date, giving a specific resource and scope. The return-key list and Melbourne example reinforce the purpose. It does not explicitly differentiate itself from sibling Entain racing tools like entain_racing_racecard, so it falls just short of a 5.

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 'for one date' phrasing implies this is the tool for full daily meeting/race lookups, and the timezone example hints at regional usage. However, it never explains when to prefer this over entain_racing_racecard, entain_racing_search, or other racing-related siblings, leaving usage guidance implicit rather than explicit.

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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