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TradePilot Agent Commerce

Product description

tradepilot_service_product_description
Destructive

Turn supplied product specifications into benefits, description, and a factual specifications list. Uses buyer-supplied information only; no external research or outbound actions. Returns a draft for human review. Price: 0.25 USD. Payment requires explicit wallet authorization.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYes
result_expiresNo
idempotency_keyNo
result_signatureNo
payment_signatureNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.8/5.0
Behavior1/5

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

The description usefully discloses no-external-research, human-review, and wallet-authorization payment requirements. However, it directly contradicts the openWorldHint=true annotation by stating 'no external research or outbound actions' while the annotation implies the tool may access world/external resources. Per the rubric, a contradiction reduces this dimension to 1.

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 four short sentences with no filler. It front-loads the core transformation, then adds the behavioral constraint, the draft output, and the price and payment-authorization requirement, making every sentence earn its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description covers the core purpose, input constraint, draft output, and payment authorization, which is helpful for a paid mutation tool. Yet it omits guidance on the signature fields, expiration, idempotency, and overall request construction, which matters because no output schema exists and parameter coverage is 0%. It is adequate but not fully complete for a paid tool with several operational parameters.

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

Parameters1/5

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

Schema description coverage is 0%, and the description does not explain any parameter names, types, or required fields. It only refers generically to 'product specifications', which loosely maps to input.brief, but leaves audience, source_text, result_expires, idempotency_key, result_signature, and payment_signature unexplained. The description fails to compensate for the low schema coverage.

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 states a clear action: converting product specifications into benefits, a description, and a factual specifications list. It identifies the resource and output precisely, distinguishing it from general copywriting tools. However, it does not explicitly name sibling tools or contrast itself with them, so it stops short of a perfect score.

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

Usage Guidelines3/5

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

The description implies when to use this tool: when a user supplies product specifications and needs a product-description draft. It also imposes a clear constraint that only buyer-supplied information is used. It does not state exclusions or mention alternatives among the many sibling tools, leaving the usage boundary somewhat implicit.

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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