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DanielTomaro13

sportsdata-mcp

sportsbet_racing_top_jockeys

Read-onlyIdempotent

Get today's leading jockeys and their scheduled rides from Sportsbet racing data. See top jockeys with event details and selection names for each ride.

Instructions

Top jockeys hub (leading jockeys and their rides today).

Returns: {jockeys:[{name, rides:[{eventId, selectionName}]}]}

Auth: none needed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

The description discloses that no authentication is needed and provides the exact return structure, which adds useful behavioral context beyond the read-only annotation. It also scopes the data to 'today,' giving the agent a clear expectation of the response. However, it doesn't mention potential data latency or whether the list is sorted, but given the annotations, this is sufficient.

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 three short, information-dense sentences, with the return type front-loaded. No wasted words.

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 simple, zero-parameter, read-only tool, the description is complete: it states the data (top jockeys and rides), the time scope (today), the return format, and auth requirement. No output schema exists, so the inline return type fills that gap.

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?

Since the tool takes zero parameters, the schema already fully describes the input, and the description adds nothing needed on parameter usage. The baseline for zero-parameter tools is 4, which is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the tool as providing leading jockeys and their rides for today, with a return shape that defines the scope. It uses a specific resource ('top jockeys') and action ('rides today'), distinguishing it from other racing tools that focus on races or bets.

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?

The description offers no guidance on when to select this tool over alternatives, nor does it mention exclusions or related tools. A user would know what it does but not when it's the best choice among the many racing endpoints.

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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