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Check VULK API usage to monitor requests, credits, and rate limits for managing automated full-stack application development.

Instructions

Check your VULK API usage — requests made, credits remaining, and rate limit status.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations provided, the description carries the full burden and effectively discloses key behavioral traits: it is a read-only operation (implied by 'Check'), provides usage metrics, and hints at rate limit awareness. It adds value by specifying what information is returned, though it could mention response format or error handling for completeness.

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 action ('Check your VULK API usage') and lists the specific data points returned. There is no wasted verbiage, making it easy to parse and understand quickly.

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 simplicity (0 parameters, no output schema, no annotations), the description is adequate but has gaps: it does not specify the return format (e.g., JSON structure) or error conditions. For a usage-checking tool, this leaves some operational context uncovered, though the core purpose is clear.

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?

The tool has 0 parameters with 100% schema description coverage, so no parameter documentation is needed. The description appropriately focuses on the tool's purpose without redundant parameter details, earning a baseline score above 3 for clarity in a parameterless context.

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 specific action ('Check') and the resource ('VULK API usage'), with explicit details about what is checked: requests made, credits remaining, and rate limit status. It distinguishes itself from siblings like 'deploy', 'edit', or 'generate' by focusing on usage monitoring rather than operational actions.

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 in contexts where monitoring API consumption is needed, such as after making requests or before resource-intensive operations. However, it does not explicitly state when to use this tool versus alternatives (e.g., no mention of using it to avoid rate limits or check credit status before using other tools), leaving some guidance to inference.

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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