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Horse Truth Machine Intelligence

discover_purchase_options

Read-only

FREE: Return the self-service purchase, products, sandbox and checkout navigation needed for an autonomous client to buy Horse Truth machine access.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the agent knows this is a safe read operation. The description adds contextual flavor ('FREE', 'self-service', 'autonomous client') but does not disclose additional behavioral details such as output format or whether external requests are made. This is acceptable given the annotations.

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 entire description is one sentence with roughly 20 words, so it is concise and front-loaded with the 'FREE' qualifier. The listing of 'purchase, products, sandbox and checkout navigation' is slightly dense but not padded or redundant.

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?

For a zero-parameter, read-only tool with no output schema, the description conveys the essential purpose and the intended autonomous-purchase context. It could specify what exactly the 'navigation' includes or whether it returns URLs, steps, or structured data, but the description is sufficient for a low-complexity tool.

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 zero parameters incl/no required parameters, so parameter semantics are inherently trivial. With schema coverage at 100% and no parameters to document, there is nothing for the description to add; the baseline of 4 for zero-parameter tools applies.

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 names a specific verb ('Return') and a concrete resource ('self-service purchase, products, sandbox and checkout navigation') tied to a clear goal: buying Horse Truth machine access. The purchase focus clearly separates it from siblings like horse_rankings and resolve_horse.

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

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context for when the tool is relevant: when an autonomous client needs the navigation steps required to purchase access. It does not explicitly name alternatives or exclusions, but the use case is unambiguous enough for an agent to select it appropriately.

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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