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DanielTomaro13

sportsdata-mcp

racingandsports_todays_racing

Retrieve today's race meetings for thoroughbred, harness, and greyhound racing, grouped by country with form-guide and results URLs.

Instructions

Today's race meetings across all codes (thoroughbred / harness / greyhound), grouped by country, each meeting with its form-guide / results URLs.

Returns: [{Discipline:'T'|'H'|'G', DisciplineFullText, Countries:[{CountryName, countryCode, Flag, HasResults, Meetings:[{Course, RaceNumber, HasResults, Remaining, MeetingClosed, FormGuideUrl, PostMeetingUrl, PreMeetingUrl, PDFUrl}]}]}] (top-level array, one per discipline)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations provided, so the description carries the burden. It explains the output format and grouping, which is helpful. However, it does not disclose any behavioral traits like data freshness, limitations, or side effects. For a read-only tool with no params, this is adequate but not exceptional.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is somewhat lengthy due to the included return structure, but it is well-organized and front-loaded with the purpose. It could be slightly more concise, but every sentence adds value.

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 no output schema, the description fully documents the return format. It covers the essential information for a 0-parameter tool. However, it could mention that the data is live and updates throughout the day.

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 has no parameters, so schema coverage is 100%. The description adds value by explaining the return structure in detail, which compensates for the lack of parameters. Baseline 4 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 states it returns 'Today's race meetings across all codes (thoroughbred / harness / greyhound), grouped by country, each meeting with its form-guide / results URLs.' This specifies the verb (returns), resource (race meetings), and scope (today's, all codes, grouped by country), and the sample output distinguishes it from siblings by structure.

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?

No explicit guidance on when to use this tool versus alternatives like betr_todays_races or tab_racing_meetings. The description implies it's for a broad overview of today's racing, but does not specify context or exclusions.

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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