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get_quota

Check API quota and usage limits for a sandbox backend to avoid exceeding submission limits before bulk analysis.

Instructions

Get API quota / usage limits for one sandbox backend.

  • hybrid_analysis -- live data from /key/current and /key/submission-quota (key tier plus remaining submission quota).

  • triage / malwarebazaar -- these APIs expose no quota endpoint, so the documented limits are returned.

  • anyrun -- account limits from /user (paid plans only).

Use this before bulk submissions to avoid burning the user's quota.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sandboxYes'hybrid_analysis', 'triage', 'malwarebazaar' or 'anyrun'.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations exist, so description carries full burden. Discloses that hybrid_analysis returns live data while triage/malwarebazaar return documented limits, and anyrun requires paid plans. Does not mention response format or side effects, but output schema exists.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Description is front-loaded with the core purpose, then breaks down per sandbox. Each sentence earns its place, though slightly verbose with bullet-like structure. Still, no fluff.

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

Completeness5/5

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

Given only one parameter with full schema coverage and an existing output schema, the description fully covers what the agent needs to know for correct invocation. No gaps.

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

Parameters5/5

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

Schema covers 100% of parameter descriptions. The description further clarifies the meaning of each value and what type of data they return, adding semantic value beyond 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 starts with a clear verb+resource: 'Get API quota / usage limits for one sandbox backend.' This immediately distinguishes it from sibling tools which deal with analysis, scanning, samples, etc.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly says 'Use this before bulk submissions to avoid burning the user's quota.' Also details different behaviors per sandbox type, providing context for when to call. No explicit when-not or alternatives, but siblings are unrelated.

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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