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

Annotations already establish this as read-only, idempotent, and non-destructive, so the description doesn't need to restate safety. It adds meaningful behavioral detail by specifying the categories of issues detected and stating that each issue links to its source KDP help page, which gives the agent a clear picture of output behavior.

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 sentences carry the entire definition with no wasted words. The first sentence front-loads the verb, object, and scope; the second adds output behavior. The dense enumeration earns its place because it is the core value of the tool.

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 read-only tool with no output schema, the description adequately covers the input domains, the checks performed, and the output shape (issues with source links and optimization tips). It doesn't describe pass/fail formatting or severity levels, but those are minor for an agent deciding whether to select and invoke the tool.

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?

Schema description coverage is 0%, so the description must compensate. It does add meaning by mapping the operation to all five fields (title, subtitle, description, keyword boxes, categories) and listing the guideline areas, which is more than the bare schema provides. However, it doesn't explain per-field expectations or how values map to specific checks, leaving some ambiguity.

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 opens with a specific verb ('Checks') and names a concrete resource: a book's title, subtitle, description, keyword boxes, and categories. It then enumerates the exact guideline dimensions checked, making the tool's function unmistakable and clearly distinct from the sibling research and calculation 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?

The context of use is clearly implied: use this when a KDP listing needs compliance checking or optimization tips. However, there is no explicit when-not-to-use guidance or named alternatives among the sibling tools, so the agent must infer the right selection from the described function alone.

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