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create_customer_address

Add a new shipping or billing address to a customer's profile in Rebillia's subscription billing system for e-commerce platforms.

Instructions

Create an address book entry for a customer. POST /customers/{customerId}/addressbooks. Required: name, contactName, street1, city, state, zip, countryCode (ISO 3166-1 alpha-2), type (residential or commercial). Optional: street2, company, contactEmail, contactPhone.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
customerIdYesCustomer ID (required)
nameYesAddress name (required)
contactNameYesContact name (required)
street1YesStreet line 1 (required)
cityYesCity (required)
stateYesState (required)
zipYesPostal code (required)
countryCodeYesISO 3166-1 alpha-2 country code, e.g. ES, AR, MX
typeYesAddress type (required): residential or commercial
street2NoStreet line 2
companyNoCompany name
contactEmailNoContact email
contactPhoneNoContact phone
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states this is a creation operation but doesn't mention permissions required, whether it's idempotent, error handling, or what the response contains. For a mutation tool, this leaves significant gaps in understanding its behavior.

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 efficiently structured in two sentences: one stating the purpose and endpoint, another listing parameters. It's front-loaded with the core action and contains no redundant information, though it could be slightly more polished.

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?

For a creation tool with no annotations and no output schema, the description is insufficient. It doesn't explain what happens on success (e.g., returns the created address ID), error conditions, or side effects. Given the complexity of 13 parameters, more contextual guidance is needed.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema already documents all parameters thoroughly. The description adds minimal value by listing required and optional fields but doesn't provide additional context like format examples (beyond ISO country codes) or business rules. Baseline 3 is appropriate when the schema does the heavy lifting.

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 the specific action ('Create an address book entry') and resource ('for a customer'), distinguishing it from sibling tools like 'create_customer' or 'update_customer_address'. It precisely defines what the tool does without ambiguity.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives like 'update_customer_address' or 'list_customer_addresses'. The description lacks context about prerequisites, such as needing an existing customer, or when this operation is appropriate.

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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