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MolTrust MCP Server

mt_salesguard_register

Register a brand with MT Salesguard.

Creates a new brand identity with a DID and API key.
The API key is used to authenticate product registration
and reseller authorization requests.

Args:
    name: Brand name (e.g. "Nike", "Adidas")
    domain: Brand domain (e.g. "nike.com")
    contact_email: Contact email for the brand (optional)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
domainYes
contact_emailNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

No annotations are present, so the description carries the behavioral burden. It clearly reveals that the operation creates a brand identity, produces a DID and API key, and explains the API key's downstream role in product registration and reseller authorization. It does not mention duplication behavior, irreversibility, or caller permissions, but the core side effect is well disclosed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact and front-loaded with the purpose in the first line, followed by a short behavioral note and a structured Args block. The slight redundancy between 'Register a brand' and 'Creates a new brand identity' is minor because the second adds DID/API key detail.

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

Completeness4/5

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

For a simple three-string tool with an output schema, the description covers purpose, the main side effect, and every parameter. It leaves out when-not-to-use and failure/duplicate behavior, but an agent has enough information to make a correct first call.

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

Parameters4/5

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

The schema has 0% description coverage, but the Args block documents all three parameters with realistic examples and marks contact_email as optional. This compensates for the schema gap, though it omits format constraints or validation rules.

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 and resource ('Register a brand with MT Salesguard') and names the created artifacts (DID and API key), so an agent can tell what the tool does. It does not explicitly contrast with siblings like mt_salesguard_reseller or mt_salesguard_verify, so it stops short of a 5.

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 intended use is implied: call this when a brand needs to be registered. However, there is no explicit guidance on when not to use it or which sibling tool should be chosen for adjacent flows such as reseller authorization or verification.

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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