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get_customer_lifetime_value

Calculate customer lifetime value metrics including orders, total spend, account age, and interactions by providing a customer phone number.

Instructions

Valor de vida del cliente — Calcula metricas de valor del cliente: pedidos, gasto, antiguedad, interacciones [query]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
phoneYesTelefono del cliente
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. It mentions what metrics are calculated but does not disclose read-only nature, side effects, auth requirements, or data scope beyond saying '[query]' which is ambiguous.

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 a single sentence that conveys the core purpose effectively. The inclusion of '[query]' is slightly unclear, but overall it is concise and front-loaded.

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?

There is no output schema, so the description should clarify return values. It lists metrics but does not specify output structure, data format, or scope, leaving gaps for a simple tool.

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 coverage is 100% with one parameter 'phone' described as 'Telefono del cliente'. The description adds no additional meaning beyond the schema, achieving the baseline for high coverage.

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 verb 'Calcula' and the specific resource 'metricas de valor del cliente', listing concrete metrics like pedidos, gasto, antiguedad, interacciones. This distinguishes it from sibling tools like get_customer_info or get_purchase_history.

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 for retrieving customer lifetime value metrics but does not explicitly state when to use it over alternatives like get_purchase_history or get_customer_info, nor does it provide exclusions.

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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