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DanielTomaro13

sportsdata-mcp

tab_racing_race_form

Read-onlyIdempotent

Get detailed form for a single race, including per-runner past performances, ratings, and comments. Specify race date, type, venue, and number to receive structured data for analysis.

Instructions

Detailed form guide for one race (past performances, ratings, comments per runner).

Returns: {raceNumber, formData:[{runnerNumber, runnerName, pastPerformances:[]}]}

Auth: works without a key; TAB_CLIENT_ID or TAB_CLIENT_SECRET unlocks more if set.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateYesMeeting date, YYYY-MM-DD. Required — part of the URL path.
raceTypeYesRace code: R/G/H. Required — part of the URL path.
raceNumberYesRace number. Required — part of the URL path.
jurisdictionNoState jurisdiction.NSW
venueMnemonicYesVenue code. Required — part of the URL path.
Behavior3/5

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

The description adds auth context (works without a key, but more data with credentials), which is not covered in annotations. However, it does not discuss other behaviors like rate limits, data freshness, or potential side effects beyond the read-only annotation.

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 concise and well-structured, covering the tool's purpose, return structure, and authentication in a compact manner with no redundancy or extraneous details.

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 the simplicity of the tool and the detailed parameter schema, the description is mostly complete. It includes the return structure and auth details, but lacks any mention of data source, update frequency, or potential limitations, which would make it more robust.

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?

The input schema provides clear descriptions for all parameters, and the tool description does not add additional meaning beyond what is already documented. The parameter explanations are sufficient, but the description itself provides no extra insight.

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 provides a detailed form guide for one race, specifying past performances, ratings, and comments per runner. It also includes the return structure, making the purpose unambiguous.

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

Usage Guidelines1/5

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 such as tab_racing_race or tab_racing_runner_form. The description lacks any context about appropriate use cases or differentiation from sibling 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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