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Promaxian

horizon-torn-mcp

by Promaxian

horizon_torn_getRacingLookup

Retrieve all available racing selections from the Torn API to obtain current racing options for betting or analysis.

Instructions

Get all available racing selections

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyNoAPI key (Public).<br>It's not required to use this parameter when passing the API key via the Authorization header.
commentNoComment for your tool/service/bot/website to be visible in the logs.
timestampNoTimestamp to bypass cache or get the data in specific point in time
Behavior2/5

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

No annotations are provided, and the description does not disclose any behavioral traits such as idempotency, read-only nature, authentication requirements, or rate limits. The minimal description fails to compensate for the lack of annotations.

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

Conciseness3/5

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

The description is very short (one sentence) and front-loaded, but it is not structured with any additional details. It is appropriately concise but could benefit from slightly more content to be fully helpful.

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

Completeness2/5

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

Given the lack of output schema and annotations, the description provides minimal context. It does not explain what 'racing selections' are or what the response format looks like, leaving significant gaps for an AI agent.

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 covers 100% of the parameters with descriptions, so the baseline is 3. The tool description adds no additional meaning about the parameters beyond what the schema provides.

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 verb 'get' and the resource 'all available racing selections', which is specific and distinguishes it from sibling tools like getRacingCars, getRacingRaces, etc. However, the term 'racing selections' is somewhat ambiguous without further context.

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 provided on when to use this tool versus alternatives. The description does not mention any context, preconditions, 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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