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generate_invoice

Create invoices for customer usage within specified billing periods using the Pulse billing platform.

Instructions

Generate an invoice for a customer's usage in a given period

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
productIdYesThe product ID
customerIdYesThe customer's external ID
periodStartYesBilling period start (ISO 8601 date)
periodEndYesBilling period end (ISO 8601 date)
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 the tool generates an invoice, implying a creation/mutation operation, but fails to mention critical details like whether this triggers billing, requires specific permissions, or what the output format might be. This is a significant gap for a tool that likely modifies system state.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that front-loads the core purpose without any wasted words. It's appropriately sized for the tool's complexity, making it easy to parse quickly.

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 tool likely creates an invoice (a mutation with financial implications), the lack of annotations and output schema means the description should do more to explain behavior, output, or error conditions. It's incomplete for a tool that interacts with billing data, as it omits details on what happens post-generation or how failures are handled.

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?

The description mentions 'customer's usage' and 'given period', which loosely maps to the 'customerId', 'periodStart', and 'periodEnd' parameters, but doesn't add meaningful semantics beyond what the schema already provides (e.g., it doesn't clarify how 'productId' relates to usage or invoice generation). With 100% schema description coverage, the baseline is 3, and the description adds minimal extra value.

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 ('generate an invoice') and the target ('for a customer's usage in a given period'), which is specific and actionable. However, it doesn't explicitly differentiate from sibling tools like 'get_invoice' or 'send_invoice', which handle retrieval and delivery respectively, so it falls short of a perfect score.

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?

The description provides no guidance on when to use this tool versus alternatives like 'get_invoice' or 'send_invoice', nor does it mention prerequisites such as existing customer or product data. It lacks explicit when/when-not instructions or named alternatives, leaving usage context implied at best.

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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