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gf.gcc_portfolio_rank

gf.gcc_portfolio_rank

Rank 2-12 product scenarios by economics and risk. Price: 5.00 USDC via x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
productsYes
referralCodeNo
paymentSignatureNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3/5.0
Behavior3/5

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

With no annotations available, the description carries the full burden of behavioral disclosure. It does reveal a key behavior—the 5.00 USDC x402 payment—and the 2-12 input constraint, but it does not state whether the operation is read-only, what output format to expect, or how the payment applies to the result.

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?

The description is extremely lean: two short sentences, front-loaded with the main action and the cost. Every word earns its place; there is no filler or repetition of schema validation details.

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?

Despite the tool having a complex input (up to 12 product objects with numerous economic fields), no output schema, and two ancillary payment fields, the description only covers the input size and price. An agent would not know what output to expect, how the ranking is ordered, or what paymentSignature means in this context.

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 needs to compensate by explaining the parameter meanings. It only says 'product scenarios' ranked by 'economics and cost', adding no detail about expected_sale_price, product_value, referralCode, paymentSignature, or any of the nested cost/fee fields.

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 clearly states the action ('Rank') and resource ('2-12 product scenarios') with ranking criteria ('by economics and cost'). However, it does not differentiate this from sister tools like gf.gcc_opportunity_score or gf.gcc_product_decision, so it lacks explicit sibling distinction.

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?

The description gives no guidance on when to use this tool over alternatives such as gf.free_profit_check, gf.gcc_opportunity_score, or gf.gcc_product_decision. It only implies the input size range and price, leaving the agent to guess the correct context.

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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