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A2A Cosmetics

Create Order Intent

create_order_intent

Open an order between two agents: an order intent for a cleared product after the gate; the intent carries reason_code + rule_set_version and settles by x402 on a2a-x402.ai.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
gtinYes
marketNo
ship_toNo
quantityYes
decision_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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

The description adds behavioral context beyond the annotations by noting that the intent carries reason_code and rule_set_version and settles via x402 on a2a-x402.ai. It does not disclose side effects, persistence, or error conditions, but the annotations already indicate a non-read-only, non-idempotent operation.

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?

The description is a single sentence and reasonably brief, but it is dense with domain jargon such as 'gate', 'x402', and 'reason_code + rule_set_version'. It front-loads the core purpose but sacrifices clarity for compactness.

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?

With an output schema present, return-value documentation is not required, but the description leaves required parameter semantics unexplained and does not articulate a clear invocation trigger beyond vague 'after the gate' context. An agent would struggle to construct a valid call without additional inference.

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, but it does not explain any of the five parameters, including required fields gtin, quantity, and decision_id. It even introduces fields like reason_code and rule_set_version that are absent from the schema, which could mislead an agent about what inputs are expected.

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 identifies the action as opening an order between two agents and specifies the resource as an order intent for a cleared product after the gate. It distinguishes this from read-only siblings like get_item or get_availability, though it does not explicitly differentiate from gate_transaction.

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 phrase 'for a cleared product after the gate' provides implied usage context, suggesting this should be invoked after clearance and in relation to a gate decision. However, it does not explicitly state when not to use the tool or mention any alternative sibling tools.

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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