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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. Use this tool when you need to know how to pay: x402 per call, a direct credit pack, or the Apify marketplace. Use sandbox_preview instead to see what a result looks like.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.6/5.0
Behavior4/5

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

Annotations already establish readOnlyHint=true, destructiveHint=false, openWorldHint=false, so the safety profile is covered. The description adds genuinely new context beyond the annotations: it is FREE, and it enumerates the supported payment mechanisms, which matters for an autonomous purchasing agent. It stops short of describing the shape of the returned navigation payload.

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?

Three tight sentences, front-loaded with the 'FREE:' qualifier that matters most to a cost-sensitive agent. Every sentence carries a distinct payload: what it returns, when to call it, and which sibling to use instead.

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, no-output-schema discovery tool whose annotations cover safety, the description supplies purpose, trigger, alternatives, and payment modes. The one remaining gap is that it does not hint at the structure of the returned checkout/navigation data an agent would need to act on.

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 takes zero parameters, which is the baseline-4 case; the description correctly implies a parameterless discovery call. There is no parameter surface for it to clarify further.

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?

States a specific verb (Return) and resource (self-service purchase/products/sandbox/checkout navigation) with its audience (an autonomous client buying Horse Truth access). It also explicitly distinguishes itself from the sibling sandbox_preview, so an agent can route between them without opening either schema.

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

Usage Guidelines5/5

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

Gives an explicit trigger ('when you need to know how to pay'), enumerates the three payment paths (x402 per call, credit pack, Apify marketplace), and names the alternative tool plus its differentiating condition ('use sandbox_preview instead to see what a result looks like'). Nothing is left to inference.

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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