Get your current billing period usage summary with per-product breakdown and costs. Shows free tier consumption, paid usage, and total cost.
This tool declares no required parameters. Add optional parameters from the input schema as needed.
{
"id": 1,
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"arguments": {},
"name": "get_usage_summary"
}
}| 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?
With no annotations provided, the description carries the full burden. It discloses the response content (free tier consumption, paid usage, total cost) and scopes to the current billing period. While it doesn't explicitly state read-only behavior or authentication needs, the 'get' verb and lack of side effects make it reasonably transparent.
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 two efficient sentences. The first states the primary purpose and scope, the second adds output details. No redundant or extraneous content.
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?
Given the tool has no parameters and no output schema, the description sufficiently outlines the response categories. It doesn't explicitly differentiate from get_billing_status or mention data freshness, but for a simple summary tool it offers enough context for correct selection.
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 the baseline is 4. The description adds meaning by explaining the output categories, which is useful given the empty input schema.
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 states the tool retrieves a billing period usage summary, with explicit mention of per-product breakdown and costs. This distinguishes it from other billing-related tools like get_billing_status, which likely handles broader account status.
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 clear context for use—retrieving current billing period usage details—but does not explicitly exclude alternatives or mention when not to use this tool. This implies usage rather than offering explicit guidance against siblings.
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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