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Check agy auth status & credit

agy_auth_status
Read-onlyIdempotent

Check login status and per-model credit balance. Use before querying to confirm authentication and available quota.

Instructions

Report whether agy is logged in and how much per-model quota (credit) remains.

Reads agy's local account store (~/.antigravity_tools). Never returns the auth token.

Takes no arguments. Returns JSON: { "logged_in": boolean, // true if a current account has a valid, non-disabled token "email": string | null, // current account email "name": string | null, // current account display name "accounts": string[], // all known account emails "models_quota": [ { "display_name": string, "percentage": number, "reset_time": string } ] // percentage = remaining credit for that model (100 = full) }

Use before agy_ask to confirm agy is usable; if logged_in is false, call agy_login.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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

Beyond annotations (readOnlyHint, idempotentHint), description adds that it reads local account store and never returns auth token, providing security-relevant behavior.

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 detailed and includes JSON structure, but front-loads purpose well. Could be slightly more concise but still efficient.

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 0 parameters and no output schema, description provides full return schema and usage context, including security note. Complete for a status-check tool.

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?

No parameters exist (schema coverage 100%), baseline 4 applies; no additional parameter info needed.

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?

Description clearly states it reports login status and per-model quota, distinguishes from siblings by specifying use before agy_ask and referencing agy_login for alternative when not logged in.

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

Usage Guidelines5/5

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

Explicitly says when to use (before agy_ask) and when to call alternative (agy_login if logged_in false). Also implies not to use for token retrieval.

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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