Skip to main content
Glama

Get account credits

get_account
Read-only

Check account credits and debt to determine if new video runs are allowed; balance credits show available spend, while outstanding debt blocks creation until credits are purchased.

Instructions

Read this account's credits. Free, spends nothing. debt_credits above zero means make_ugc is refused with debt_outstanding whatever the balance, until the account buys credits; with no debt, balance_credits is what a new run can spend. holds_credits are reserved for runs still in progress and settle when they finish. grants lists unexpired credit grants. quote_ugc already warns when make_ugc would be refused; this tool gives the numbers behind it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.20.0

TDQS

A4.9/5.0
Behavior5/5

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

Annotations already indicate readOnlyHint=true and destructiveHint=false, and the description adds meaningful behavioral context: 'Free, spends nothing,' and detailed semantics for debt_credits, balance_credits, holds_credits, and grants. This goes well beyond what the annotations provide.

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 compact yet information-dense, with the core purpose front-loaded in the first sentence. Every subsequent sentence explains a meaningful field or behavioral nuance without redundancy.

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?

Despite having no output schema, the description explains the return semantics of every key field (debt_credits, balance_credits, holds_credits, grants) and connects them to make_ugc refusal behavior. Nothing an agent needs to interpret the result is missing.

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 zero parameters, so there are no parameter semantics to explain. The description correctly focuses on behavior and return field meaning instead. Baseline 4 for no-parameter tools is appropriate.

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 opens with 'Read this account's credits,' a precise verb and resource that clearly states what the tool does. It also distinguishes itself from siblings by explaining that it provides the underlying numbers behind quote_ugc's warnings.

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?

The description explicitly differentiates this tool from quote_ugc: quote_ugc warns when make_ugc would be refused, while get_account gives the underlying figures. This gives the agent clear guidance on when to use this tool versus the sibling alternative.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.