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mvicari

Wave MCP Server

wave_create_customer

Create a new customer record in Wave Accounting with required name and optional contact and address fields.

Instructions

Create a new customer

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityNoCity
nameYesCustomer name (company or full name)
emailNoEmail address
currencyNoCurrency code (e.g., USD)
lastNameNoLast name
firstNameNoFirst name
businessIdNoBusiness ID
postalCodeNoPostal/ZIP code
countryCodeNoCountry code (e.g., US, CA)
addressLine1NoAddress line 1
addressLine2NoAddress line 2
provinceCodeNoProvince/State code (e.g., CA, NY)
Behavior2/5

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

With no annotations, the description must fully disclose behavioral traits. It only states 'create', implying mutation, but does not explain what happens on success (e.g., returns the new customer object), error states, idempotency, or side effects. This is insufficient for safe agent decision-making.

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 short sentence, which is concise but lacks structure. It does not front-load key information or separate purpose from usage. While not verbose, it could be more informative without adding length.

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?

Given the complexity of creating a customer with 12 parameters and no output schema, the description is incomplete. It does not explain the return value, error handling, or context needed (e.g., that a business must exist). The tool's potential impact is not covered.

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?

All 12 parameters have descriptions in the input schema, so the schema already provides meaning. The description adds no additional parameter-level details, but given 100% coverage, a baseline of 3 is appropriate.

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 states the action 'Create' and the resource 'customer', making the basic purpose evident. However, it does not specify what type of customer (e.g., individual vs business) or mention that the tool creates a customer in the context of a business, which leaves some 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 given on when to use this tool versus the many sibling tools like wave_update_customer, wave_search_customers, or wave_list_customers. There is no mention of prerequisites such as needing a business ID or context.

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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