GCC Merchant Pack
gf.gcc_merchant_packMerchant portfolio plan for 3-25 products. Price: 12.00 USDC via x402.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| products | Yes | ||
| referralCode | No | ||
| working_capital | Yes | ||
| paymentSignature | No |
gf.gcc_merchant_packMerchant portfolio plan for 3-25 products. Price: 12.00 USDC via x402.
| Name | Required | Description | Default |
|---|---|---|---|
| products | Yes | ||
| referralCode | No | ||
| working_capital | Yes | ||
| paymentSignature | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full behavioral burden, but it only discloses the price and payment method (12.00 USDC via x402). It fails to state that payment is required before the plan is produced, whether the tool performs a purchase/authorization, how payment status is returned, or any side effects. This is inadequate for what appears to be a paid commercial operation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short and front-loads the product range and price, but it is sparse to the point of being a snippet. There is no waste, yet the brevity is not 'appropriate' because it omits essential purpose and behavior details.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a paid tool with no output schema and no annotations, the description is far from complete. It does not explain the payment flow, return value, required working capital semantics, or how this pack relates to the merchant GCC tool family. A model selecting this tool would not know what it will receive after paying.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must explain the parameters; it doesn't. It only references the product count range and gives no meaning for working_capital, referralCode, paymentSignature, or any nested product fields such as product_value, shipping, or duty_rate_pct.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description calls it a 'Merchant portfolio plan for 3-25 products' and states a price, but it uses no verb and never says what invoking the tool does. It is more of a product listing snippet than a tool contract, and it does not differentiate from siblings like gf.free_profit_check or gf.gcc_portfolio_rank.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no explicit when-to-use guidance and no mention of alternatives. The only implied context is the 3-25 product range, which hints at eligibility but does not tell the agent when to choose this over a free sibling or a quote tool.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Several tools overlap in purpose, particularly among the GCC analysis services (free_profit_check, gcc_opportunity_score, gcc_product_decision) and the status reporting tools (agent_commerce_status, payment_status, settlement_status, universal_status). While descriptions clarify differences, an agent may struggle to choose between these related services without careful reading.
All tools use the 'gf.' prefix and snake_case, providing a consistent base. However, the pattern mixes noun_phrases (agent_budget, payment_status) with verb-based names (execute, quote) and adjective_noun combinations (free_profit_check), making the naming somewhat inconsistent in style though still readable.
At 18 tools, the count is slightly above the typical 15-tool sweet spot but remains reasonable for a comprehensive commerce gateway server that covers discovery, quoting, payment, status, and analytics. The scope justifies the number without feeling bloated.
The tool surface covers the main lifecycle: discovering capabilities, obtaining quotes, executing transactions, checking payment and settlement status, monitoring provider health, and reviewing metrics. Minor gaps exist (no explicit refund/cancel or merchant account creation), but these are not critical to the core workflows.