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Promaxian

horizon-torn-mcp

by Promaxian

horizon_torn_getCompanyGeneric

Retrieve company selections by name, ID, category, or legacy identifiers. Supports filtering, HTML stripping, cache bypass, and comment logging.

Instructions

Get any Company selection

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoselection id
catNoSelection category
keyNoAPI key (Public).<br>It's not required to use this parameter when passing the API key via the Authorization header.
limitNo
legacyNoLegacy selection names for which you want or expect API v1 response
offsetNo
commentNoComment for your tool/service/bot/website to be visible in the logs.
striptagsNoDetermines if fields include HTML or not ('Hospitalized by <a href=...>user</a>' vs 'Hospitalized by user').
timestampNoTimestamp to bypass cache or get the data in specific point in time
selectionsNoSelection names
Behavior1/5

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

No annotations provided, and the description gives no behavioral details (e.g., read-only vs destructive, authentication requirements, rate limits, or error handling). The description carries the full burden but provides none.

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?

The description is extremely brief, but it is underspecified rather than concise. It should provide more context without being verbose. Length alone is not conciseness when it sacrifices clarity.

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 10 parameters, no output schema, and no behavioral transparency, the description is completely inadequate. An agent cannot determine the tool's return format, required parameters, or usage 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 high (80%), so the schema already documents most parameters. The description adds no extra meaning about parameters, but the schema suffices for basic understanding. 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 any Company selection' is vague and does not specify what type of company data is returned. It fails to distinguish from sibling tools like 'getCompanyProfile' or 'getCompaniesList', which likely have more specific purposes.

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. With many sibling tools for company data, the description should indicate whether this is a generic fallback or for specific selection IDs, but it does not.

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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