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

Annotations already declare it as a read-only, idempotent, non-destructive operation, so the safety profile is covered. The description adds useful behavioral context by specifying the returned account data, including daily call usage, the daily limit, and per-data-set rebuild times, which helps an agent judge quota status and data freshness.

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?

The description is a single, well-formed sentence that front-loads the verb and lists the exact information returned. Every phrase earns its place with no boilerplate or filler.

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?

With no output schema and no parameters, the description carries the burden of explaining what the tool returns, and it does so by enumerating the plan, usage, limit, and data rebuild times. Annotations cover the safety profile, so an agent has everything needed to call the tool correctly.

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?

The tool takes zero parameters, so there are no parameter semantics to document. Per the rubric, a zero-parameter tool receives a baseline of 4 even when the schema provides no additional parameter detail.

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 ('Shows') and names the exact resource: the user's BankrollSZN plan, calls used today, daily limit, and data set rebuild times. This clearly distinguishes it from the many sport-specific data-fetch siblings in the tool list.

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 content implies the tool is for checking account status and quota limits, but it never explicitly says when to use it, when not to, or what alternative to call instead. Usage is inferable from the listed outputs, matching the 'implied usage' level.

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