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ThumbnailCreator

Account usage

account_usage
Read-only

Shows free allowance left, this month's spend and billing status for the API key's account.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint: true, and the description's 'Shows' is consistent with that safety profile. The description adds context about what data is surfaced (allowance, spend, billing status), but does not disclose deeper behavioral traits such as rate limits or whether the data is cached. With annotations covering the read-only nature, a 3 is appropriate.

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?

A single, front-loaded sentence that states the resource and the three key data points. There is no fluff or repetition of the name or annotations. The sentence earns its place by adding specific content beyond the title.

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 simple, parameterless tool, the description covers what the agent needs to know: what the tool reports and at what scope (account of the API key). It doesn't provide details on the exact response format, but with no output schema, a brief enumeration of the included data points is reasonable. Minor ambiguity in 'billing status' is acceptable at this complexity level.

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 input schema has zero parameters, so the baseline is 4 per the rubric. The description adds value by clarifying what account-scoped data will be returned, which compensates for the lack of an output schema. No parameter documentation is needed since there are none.

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 a clear verb ('Shows') and specifies a distinct resource: account usage details (free allowance, monthly spend, billing status). This is unambiguous and clearly differentiates from sibling tools like generate_thumbnails or get_generation, which operate on content generation rather than account/billing data.

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

Usage Guidelines4/5

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

The description implies exactly when to use this tool — when an agent needs account-level billing or quota information. None of the sibling tools (thumbnail generation, generation retrieval, model listing) overlap with this purpose, so no explicit exclusion is necessary. A small gap: it doesn't state prerequisites like API key authentication, but the context makes the use case straightforward.

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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