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Create customer

numeral_create_customer
Destructive

CREATES a customer record — this WRITES to your Numeral customer list (used for order tracking and tax exemptions). Numeral: POST /tax/customers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoCustomer name.
emailYesCustomer email (required).
is_tax_exemptNoWhether this customer is tax exempt.
reference_customer_idNoYour own id for this customer (for reference-based lookups).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

C2.9/5.0
Behavior2/5

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

The destructiveHint=true annotation already signals a state-mutating operation, and the description's "WRITES" mostly restates that. It adds the underlying REST endpoint (POST /tax/customers) but discloses nothing about auth requirements, duplicate handling, or reversibility, which would be the value-add over the annotation.

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?

A single front-loaded sentence with the write semantics stated first and the endpoint last. The uppercase emphasis is slightly redundant given the name, but nothing is wasted or bloated.

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

Completeness3/5

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

For a four-parameter create with full schema coverage and no output schema, the description is adequate but thin: it omits what the response contains (e.g. a customer id for later get/refund calls) and how duplicate or tax-exempt edge cases behave.

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 all four fields (name, email, is_tax_exempt, reference_customer_id) are already documented inline. The description adds no syntax, format (e.g. email validation) or usage nuance beyond the schema, so baseline 3 applies.

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+resource ("CREATES a customer record") and adds scope detail about what the customer list is used for (order tracking, tax exemptions). Siblings are all distinct resources, so no explicit differentiation is needed, but none is offered either.

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?

There is no when-to-use guidance: nothing about checking for existing customers first, whether the call is idempotent, or what to do on a duplicate email. The agent must infer all invocation context from the name alone.

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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