Get usage status
get_usage_statusCalls used and included this month, extra-call cost, and where the calls went.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_usage_statusCalls used and included this month, extra-call cost, and where the calls went.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
| 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?
Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered. The description adds the temporal scope ('this month') and confirms a cost/breakdown payload, but says nothing about auth requirements, rate limits, or freshness of the data. With annotations doing the heavy lifting, this is a modest add.
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?
One compact sentence with the headline metric (calls used/included) front-loaded ahead of cost and breakdown. It wastes no words, though the fragmentary phrasing leaves 'included' and 'where the calls went' slightly underspecified.
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?
An output schema exists, so the description need not explain the return structure, and with zero parameters and full annotation coverage the remaining burden is small. The one gap is that it never states when an agent should reach for this tool, but for a no-arg status read that is a minor omission.
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 takes zero parameters, and the rubric sets a baseline of 4 for parameterless tools. Nothing in the description misrepresents the input surface, and the empty schema matches the description's scope of a plain monthly snapshot.
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 names the concrete data the tool returns: calls used and included this month, extra-call cost, and a breakdown of where calls went. An agent can identify it as the usage/billing-status reader without ambiguity. It is phrased as a noun list rather than a verb+resource, but no sibling covers usage/quota, so differentiation is not a concern.
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?
There is no explicit when-to-use or when-not-to-use statement, and no alternatives are named. The content listing implies an agent would call it when asked about monthly usage or overage cost, but the description never says so. Per the calibration anchor, absent guidance scores 2 even when the purpose is self-evident.
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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