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TradePilot Agent Commerce

Case study outline

tradepilot_service_case_study_outline
Destructive

Organize supplied customer evidence into challenge, approach, results, and missing proof; do not invent outcomes. 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

C2.7/5.0
Behavior1/5

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

The description says 'no external research or outbound actions' while the annotations set openWorldHint=true, indicating the tool may interact with the open world. This is a direct contradiction. The description does add useful payment and no-invention context, but the contradiction forces a low score.

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 compact and well ordered: core action first, then constraints, return behavior, and pricing. Every sentence earns its place with no redundancy or filler.

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?

The description covers the task, constraints, return nature, and cost, which is good. But with an opaque 5-parameter schema, nested objects, no output schema, and a payment flow, it leaves critical invocation details unexplained, especially parameter mapping and wallet authorization mechanics.

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%, so the description must compensate by explaining parameters, but it never mentions brief, audience, source_text, payment_signature, or how they relate to 'customer evidence.' An agent cannot determine how to populate the nested input object from the description.

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 specific verb ('Organize') and resource ('supplied customer evidence into challenge, approach, results, and missing proof'), making the tool's purpose clear. It does not explicitly name an alternative sibling, but the concrete output structure distinguishes it from generic outline tools.

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 gives clear context for use: it should be fed buyer-supplied customer evidence and must not perform research or invent outcomes. However, it does not explicitly state when to prefer this tool over sibling tools or when not to use it.

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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