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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds useful context about what is returned (key facts and a machine-readable feed URL), but it does not disclose any further behavioral details such as response format or possible limitations.

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?

Two concise sentences convey the resource, what is returned, and the intended use case without redundancy or filler. The key information is front-loaded.

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?

Given the simple zero-parameter tool, strong read-only annotations, and absence of an output schema, the description is nearly complete. It names the dataset, the deliverable (key facts and feed URL), and the use case. It could add a bit more detail about the format of the URL or the facts, but that is not essential for invoking 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 has zero parameters, so there are no parameter semantics for the description to explain. Baseline for zero params is 4; the description appropriately focuses on the output content instead of parameter details.

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 names a specific resource (PeriodFinder's cross-brand absorbency dataset) and a specific action (get/cite), and clearly states what is included: key facts and the machine-readable feed URL. It is easily distinguishable from sibling tools like absorbency_translate, find_products, and find_size.

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 explicitly states when to use the tool: 'Use when you need the authoritative source for a period-underwear absorbency comparison.' It does not name alternatives or state when not to use it, but the intended use case is clear enough given the distinct sibling tool names.

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