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

With no annotations, the description carries the burden of disclosing behavior. It conveys that results are estimates (試算/シミュレーション) and that the tool is browser-based, but it does not explicitly state whether any data is stored, whether calculations are local, or what assumptions apply to RPM.

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 two compact clauses with no redundant information. It leads with the core formula and follows with the monthly simulation scope, making every sentence earn 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 simple parameterless calculator with no output schema, the description sufficiently covers the tool's purpose and calculation logic. It lacks detail on output format or RPM assumptions, but this is not critical given the tool's simplicity and browser-based nature.

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 schema has zero parameters, so there are no parameter details to document. The description's formula references the relevant inputs (views, RPM, sponsored revenue) without needing to describe schema fields, matching the baseline for a parameterless tool.

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 precisely states the calculation model (views × RPM → ad revenue + sponsored revenue) and the monthly income simulation scope. It clearly distinguishes this tool from siblings like views-simulator or affiliate-revenue-calc by naming YouTube-specific metrics and revenue types.

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 description provides no explicit when-to-use guidance, exclusions, or comparisons with alternative tools. It only implies usage for YouTube revenue estimation through the formula, which is not enough to guide tool selection among many similar calculators.

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