Crawlora MCP

draftkings_racing_tracks

Read-only

List all tracks from DraftKings Racing's public All Tracks directory, including track type, status, country, and scheduled race count. Use it to discover tracks; favorite IDs and wagering controls are excluded.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "draftkings_racing_tracks"
  }
}

Input Schema

Name	Required	Description	Default
No arguments

Output Schema

Name	Required	Description	Default
`data`	Yes	The tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

AddedOct 22, 2026

TDQS

A4/5.0

Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds useful scope context — that the source is the public directory and that favorites/wagering fields are omitted — but nothing about pagination, volume, or result limits for a full-directory listing.

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 tight sentences with zero filler. The purpose and returned fields come first, and the usage/exclusion note follows, so an agent gets the essential framing immediately.

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 no-argument list tool with an output schema and read-only annotations, the description covers purpose, returned fields, and exclusions. Nothing an agent needs in order to call it correctly is missing.

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 takes zero parameters, so there is nothing for the description to disambiguate and the baseline of 4 applies. The field enumeration describes output content rather than inputs, which is a minor bonus given the output schema already exists.

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?

Names a specific verb (List) and resource (DraftKings Racing's public All Tracks directory) and enumerates the returned attributes (track type, status, country, race count). It is clearly distinguishable from the schedule-oriented sibling, but never names that sibling explicitly, so it falls short of full sibling differentiation.

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

Usage Guidelines4/5

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

Gives a clear use case ("Use it to discover tracks") and an explicit exclusion boundary (favorite IDs and wagering controls are not included), which tells the agent when this tool is and isn't the right fit. It stops short of naming the alternative tool to use for schedule or wagering data.

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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