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get_usage

Check current billing usage, quota limits, and estimated costs for QR codes generated, links created, and API calls this month.

Instructions

Check current billing period usage, quota limits, and estimated cost. Shows QR codes generated, links created, and API calls for the current month.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It describes what data is returned (usage, quotas, costs, QR codes, links, API calls) but lacks details on behavioral traits like whether this requires authentication, if data is real-time or cached, or any rate limits. The description adds value by specifying scope but misses key operational context.

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 two concise sentences that are front-loaded with the core purpose and then detail specific metrics. Every word earns its place, with no redundancy or fluff, making it efficient and easy to parse.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (read-only usage reporting), lack of annotations, and no output schema, the description is moderately complete. It covers what data is returned but lacks details on format, timeframes beyond 'current month', or error handling. For a tool with no structured behavioral hints, it should provide more operational context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There are 0 parameters, and schema description coverage is 100%, so the baseline is 4. The description appropriately does not discuss parameters, as none exist, and instead focuses on the tool's output semantics, which is helpful given the lack of an output schema.

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 tool's purpose with specific verbs ('Check', 'Shows') and resources ('billing period usage, quota limits, estimated cost, QR codes generated, links created, API calls'), distinguishing it from siblings like get_capabilities or get_link_analytics which focus on different aspects of the system.

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 context ('current month', 'current billing period') but does not explicitly state when to use this tool versus alternatives like get_capabilities (which might show system capabilities) or get_link_analytics (which focuses on link-specific metrics). No exclusions or prerequisites are mentioned.

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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