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

Annotations already declare readOnlyHint=true and destructiveHint=false, covering safety. The description adds the useful formula context and the 'current' freshness, but it does not disclose other behavioral traits such as update latency, data source, or edge conditions. There is no contradiction with annotations.

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 one efficient sentence thatfront-loads the metric name and uses a parenthetical to add the precise calculation. Every word earns its place.

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?

For a no-parameter, read-only lookup tool, the description is largely self-sufficient: it names the metric and defines it. The only minor gap is the absence of an output schema and no explicit statement of return format, but the expected return value is obvious from the description.

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 input schema has zero parameters, so parameter documentation is not required and the baseline for zero-parameter tools is 4. The description sufficiently explains what the returned metric represents, so no additional parameter semantics are needed.

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 clearly identifies the exact resource—current circulating $BOBAI supply—and defines it as total supply minus burned tokens. The lack of an explicit verb is minor, the query intent is unambiguous and the formula distinguishes it from related supply/burn tools.

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?

No explicit when-to-use guidance or alternatives are given, so an agent must infer usage from the phrase 'Current circulating supply.' The definition implies a natural query context, but it does not tell the agent when to prefer this over bobai_tokenomics, bobai_token_info, or bobai_burned.

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