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gf.x402_agent_pilot

gf.x402_agent_pilot

Paid agent pilot bundle for up to 10 product scenarios with landed cost, unit economics, decisions, ranking and optional capital allocation. Price: 25.00 USDC via x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
productsYes
referralCodeNo
working_capitalNo
paymentSignatureNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2.9/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral load. It does disclose that the tool is paid and states the exact price and payment channel (25.00 USDC via x402), which is valuable. However, it does not explain what happens on invocation, whether a payment is triggered, whether the call returns results directly, or what other side effects may occur.

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 description is one efficient, front-loaded sentence that states the bundle contents and price without filler. It could be improved by adding short parameter context, but as written it earns its place.

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 complex nested products schema, payment semantics, and lack of output schema or annotations, one sentence is not enough. The agent is left without usage guidance, parameter semantics for referralCode/paymentSignature, or any sense of what the priced result contains beyond the output list.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It references 'product scenarios' and 'optional capital allocation,' which loosely map to the products array and working_capital parameter, but it never explains referralCode or paymentSignature, nor how the many nested product cost fields are used. This is insufficient for correctly invoking a payment-bearing tool.

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 identifies a specific paid pilot bundle for analyzing up to 10 product scenarios and lists the included outputs (landed cost, unit economics, decisions, ranking, optional capital allocation). It does not use an explicit action verb, and it does not differentiate itself from sibling tools that also handle landed cost or product decisions, so it falls short of a 5.

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 given about when to choose this pilot bundle instead of alternatives such as gf.free_profit_check, gf.gcc_product_decision, or gf.x402_agent_scale. The word 'pilot' implies an early-stage use case, but that is only implicit and not actionable.

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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