get_balance
Check your account balance. For B2C: shows credit count. For Model A: shows quota remaining and prepaid balance. For Model B: shows prepaid balance in USD.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Check your account balance. For B2C: shows credit count. For Model A: shows quota remaining and prepaid balance. For Model B: shows prepaid balance in USD.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden and effectively discloses that the output varies by account type (credit count, quota, prepaid balance). It does not mention potential error states or authentication needs, but still adds significant behavioral context beyond the empty schema.
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?
Three sentences, each providing essential information without redundancy. The most important action ('check your account balance') is front-loaded, and the explanation of variants is succinct.
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 no parameters, no annotations, and no output schema, the description adequately explains the tool's behavior for different account types. It could mention authentication requirements or error handling, but is sufficient for a simple read operation.
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?
There are no parameters, so schema description coverage is 100%. The description does not need to add parameter details; it provides context about what the tool returns, which compensates for the lack of an output 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 uses a specific verb ('check') and resource ('account balance'), and clearly distinguishes between B2C and Model A/B behaviors, which also differentiates it from sibling tools like buy_credits or create_story.
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?
The description implies the tool is for checking balance, but does not explicitly state when to use it versus alternatives or provide when-not-to-use guidance. However, the context of sibling tools makes the purpose clear enough.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Tools have mostly distinct purposes. The only potential overlap is between create_story and quake_story, but quake_story is explicitly a 'do-over' with limitations, so confusion is minimal.
Most tools follow verb_noun pattern (e.g., create_story, get_balance), but 'login' and 'signup' are single verbs, and 'quake_story' uses an unconventional verb. This is a minor inconsistency.
With 10 tools covering account management, payments, story CRUD, and specialized operations (quake, remix), the count is well-scoped for the platform's purpose.
Covers core lifecycle (create, read, list, delete stories) plus payments and authentication. Missing update_story for editing metadata, but this is a minor gap.