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get_account_usage

Your LoginLlama account usage: remaining API credits for production and staging, and plan name.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

With no annotations, the description must carry behavioral disclosure. It indicates a read-only retrieval (via 'get' and 'Your account usage') and enumerates some return content, but does not state auth requirements, rate limits, or confirm no side effects. For a simple no-param read tool this is adequate but not fully transparent.

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 a single front-loaded sentence that immediately states the resource and the key return fields. Every clause contributes useful information with no filler.

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

Completeness4/5

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

For a zero-parameter account-usage tool without an output schema, the description gives the essential return values: production and staging credit balances plus plan name. It could be slightly more complete by noting read-only behavior or authentication needs, but it is sufficient for correct invocation.

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 takes zero parameters, so the schema baseline is 4. The description appropriately adds no parameter detail because none exist, and instead focuses on return values.

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 names the exact resource (LoginLlama account usage) and specifies the returned data: remaining API credits for production and staging, and plan name. This clearly distinguishes it from sibling tools like get_login_stats and get_recent_logins, which report login activity rather than account-level usage.

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

Usage Guidelines3/5

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

The purpose implies the tool is used when an agent needs to check account status or remaining API credits, but the description offers no explicit when-to-use guidance or comparison with sibling tools. The implied context is sufficient to select it for account usage, but it doesn't help an agent choose between this and other account-related queries if any existed.

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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