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gf.gcc_merchant_pack

gf.gcc_merchant_pack

Merchant portfolio plan for 3-25 products. Price: 12.00 USDC via x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
productsYes
referralCodeNo
working_capitalYes
paymentSignatureNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.6/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It does disclose one significant behavioral trait — this is a paid operation costing 12.00 USDC via x402 — which is exactly the kind of consequence an agent needs to know before invoking. However, it never states what happens on invocation: whether payment is charged immediately, what is created or returned, or what the plan actually delivers.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

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

Two terse sentences with no filler, and the cost information is front-loaded. But the brevity is achieved by omission rather than disciplined concision — an agent needs far more than a pricing line to call a 4-parameter paid tool correctly.

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?

There are no annotations, no output schema, and a complex 16-field nested product schema, yet the description answers none of the operational questions: what the action does, what the return value is, what working_capital means, or how paymentSignature feeds into the x402 payment. The definition is far too thin for the complexity and payment implications involved.

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 was required to compensate, and it barely does. It only echoes the products-count constraint ('3-25 products') that is already encoded as minItems/maxItems, and says nothing about the required working_capital parameter or the paymentSignature and referralCode parameters — paymentSignature is especially critical given the x402 payment flow.

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

Purpose3/5

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

The description identifies the resource (a merchant portfolio plan) and its scope (3-25 products), and the price implies a purchase action, but there is no action verb stating what the tool does — an agent cannot tell whether invoking it buys, generates, or activates the plan. Among 20+ gcc_* commerce siblings, differentiation is only implicit via the price point.

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 when-to-use guidance, no exclusions, and no alternatives are mentioned. The only weak inference is 'use when you have 3-25 products and can pay 12 USDC,' which does nothing to help an agent choose between this and overlapping siblings like gf.free_profit_check, gf.gcc_opportunity_score, or gf.gcc_portfolio_rank.

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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