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DanielTomaro13

sportsdata-mcp

sportsbet_racing_best_bets_with_events

Retrieves best bets for racing events along with the full parent event objects, including race number and win price.

Instructions

Best bets with their full parent event objects inlined.

Returns: {bestBets:[{event:{eventId, raceNumber}, selectionName, price:{winPrice}}]}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries full burden for behavioral traits. It only describes the return format, with no mention of side effects, rate limits, or any other behavioral aspects. For a tool with zero annotations, this is insufficient.

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 extremely concise, consisting of one sentence and a JSON snippet that precisely illustrates the return format. No unnecessary words or repetition.

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

Completeness4/5

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

Given there are no parameters and no output schema, the description provides a complete picture of what the tool returns. However, it lacks context about the scope (e.g., current best bets across all races) and any limitations.

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 input schema has zero parameters, so the description's main value is explaining the output structure, which it does clearly. With 100% schema coverage (trivially), the description adds meaning by detailing the return fields.

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 the tool returns best bets with inlined parent event objects, distinguishing it from the sibling tool 'sportsbet_racing_best_bets' which likely omits event details. However, it could be more explicit about the differentiation.

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 is given on when to use this tool versus alternatives. The description does not mention any prerequisites, filters, or context for using this tool over other racing data tools.

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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