Get the account plan, premium status, and remaining credit balance. Use this to decide whether the user can generate a video (rendering needs a premium plan and enough credits). Returns plan, premium, credits, free_video_available, and links (upgrade / buy_credits). Cheap and safe to call often.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, but the description fully covers behavioral traits: it's a read-only operation (no mention of side effects), returns specific fields, and is safe to call frequently. No contradictions.
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?
Two sentences: first states purpose and return values, second gives usage guidance and confirms it's cheap. No wasted words, front-loaded with key info.
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 zero parameters, no output schema, and low complexity, the description fully explains what the tool does, what it returns, and when to use it. Complete for an info-retrieval tool.
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?
No parameters exist, so baseline is 4. The description doesn't need to add parameter info and does not repeat anything from the empty 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 account plan, premium status, and remaining credit balance, with a specific verb 'Get' and resource 'account info'. It distinguishes from siblings by focusing on account-level data needed for video generation decisions.
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?
Explicitly advises when to use: to decide if the user can generate a video (needs premium plan and enough credits). Also notes it's cheap and safe to call often, contrasting with other tools that may be expensive or have side effects.
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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Each tool has a clear, distinct purpose. There is no overlap between tools like check_account and check_configuration, or between the two create video modes. All list tools target different entities, and the remaining tools serve unique roles (estimate credits, get video, wait for video, render preview).
All tool names follow a consistent verb_noun pattern in snake_case, such as check_account, create_auto_video, list_models. This makes it easy to predict tool names and understand their purpose.
With 13 tools, the number is well-scoped for a video generation API. It covers setup, account management, creation (two modes), credit estimation, retrieval, listing of various resources, and video waiting. No tool feels redundant or missing.
The tool surface covers the core workflow well: configuration check, account info, video creation (both auto and manual), credit estimation, retrieval, and listing. However, there are no tools for updating or deleting videos, nor for managing resources beyond listing (e.g., creating avatars or brand kits). These are minor gaps.
