get_usage
Account plan, credits, free deliveries left, and recent ledger.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Account plan, credits, free deliveries left, and recent ledger.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It implies a read-only account usage lookup by naming data fields, but does not state authentication requirements, data freshness, ledger scope, or whether the response is paginated, leaving significant behavioral gaps.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single concise fragment with no wasted words and front-loads the returned data. However, it reads as a noun list rather than a complete statement of purpose, which slightly weakens structure.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, the description should do more to explain the return values. It lists the main fields (plan, credits, free deliveries left, recent ledger) but gives no structure, units, or detail about the ledger contents, so it is adequate but incomplete for an agent relying on it to understand the response.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, so there are no parameter semantics to explain. The description does not need to compensate for schema gaps, making the baseline of 4 appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly identifies the resource as account usage data, naming plan, credits, free deliveries, and recent ledger. It lacks a verb and does not explicitly differentiate itself from siblings like get_analytics or get_pricing, but the returned content is specific enough to distinguish it as the account usage/billing snapshot tool.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
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 such as get_analytics, get_pricing, or get_quote. The implied use case is retrieving account usage, but there is no explicit context, prerequisite, or exclusion stated.
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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