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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint. The description adds extra context ("no whitelisting required") and details the return values, going beyond annotations without contradicting them. This adds useful behavioral information.

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 concise, uses a clear bullet list for return values, and includes a short access note. Every sentence earns its place, and there is no wasted or redundant wording.

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 read-only tool with two optional parameters, the description fully explains its purpose, return values, and access requirements. Without an output schema, the return list is especially helpful and complete for the tool's complexity.

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?

Both parameters (limit, username) are fully documented in the schema with descriptions and defaults, giving 100% schema coverage. The description does not add any parameter-specific semantics, so it does not go beyond what the schema already provides.

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 states that the tool gets analytics for products on Product Hunt, using a specific verb and resource. It also lists the types of metrics returned (votes, comments, reviews, featured products, per-product metrics), which distinguishes it from generic analytics tools in the sibling 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 description implies use when Product Hunt analytics are needed, and the resource context is clear ("your products on Product Hunt"). However, it does not explicitly mention alternatives or when not to use this tool, though the specific Product Hunt scope provides enough context.

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