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customer_create

Create a new customer account by providing email, name, password, and optional details like phone and newsletter subscription.

Instructions

Create a new customer account.

Parameters

email : Customer e-mail address (unique). firstname : First name. lastname : Last name. password : Account password (plain text — only use over HTTPS; never logged). confirm_password : Must match password. phone : Optional phone number. newsletter : Subscribe to newsletter (true/false).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailYes
firstnameYes
lastnameYes
passwordYes
confirm_passwordYes
phoneNo
newsletterNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations provided. The description adds important behavioral context: password security warning (plain text, use HTTPS, never logged) and email uniqueness constraint. This goes beyond mere parameter listing.

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 well-structured as a parameter list, but includes a 'Parameters' header that adds minor verbosity. Each line is meaningful and free of fluff.

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?

With 7 parameters (5 required) and an output schema present, the description covers all parameters with useful context and security notes. It does not describe return values, but the output schema likely handles that. Could benefit from noting idempotency or uniqueness enforcement.

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

Parameters5/5

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

Schema description coverage is 0%, but the description defines each parameter with relevant semantics: email (unique), password (security note), confirm_password (must match), phone (optional), newsletter (true/false). This adds significant meaning beyond the schema's type-only definitions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Create a new customer account' with a specific verb and resource. Among sibling tools like customer_list, customer_update, etc., this tool's purpose is distinct and unambiguous.

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 usage when a new customer is needed but does not explicitly state when to use versus alternatives, nor does it mention prerequisites, duplicate handling, or when not to use.

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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