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Promaxian

horizon-torn-mcp

by Promaxian

horizon_torn_getRacingRaces

Retrieve racing races from Torn API with filters for category, time range, sort order, and limit.

Instructions

Get races

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNoTimestamp that sets the upper limit for the data returned. Data returned will be up to and including this time
catNoCategory of races returned
keyNoAPI key (Public).<br>It's not required to use this parameter when passing the API key via the Authorization header.
fromNoTimestamp that sets the lower limit for the data returned. Data returned will be after this time
sortNoSorted by the greatest timestamps
limitNo
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
Behavior1/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It offers zero behavioral traits (e.g., side effects, auth needs, rate limits). Just 'Get races' 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.

Conciseness2/5

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

Extremely concise (two words) but at the cost of essential information. This is underspecification, not efficient conciseness.

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

Completeness1/5

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

Given 8 parameters, many sibling tools, and no output schema, the description is grossly incomplete. It fails to explain what data is returned, how parameters filter, or any behavioral context.

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?

Schema description coverage is 88% (7/8 parameters have descriptions). The description adds no extra meaning beyond the schema, so baseline 3 is appropriate.

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

Purpose2/5

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

The description 'Get races' is vague and does not specify what kind of races (e.g., list, details, upcoming) or differentiate it from siblings like getRacingCars, getRacingRaceDetails, etc. It barely goes beyond the name.

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 on when to use this tool versus alternatives, no exclusions, no context for when it's appropriate. The description provides no usage direction.

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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