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

The annotations already state readOnHint:true and openWorldHint:false, and the description is consistent with those, describing a safe lookup. The description adds value by naming the returned categories (pricing, platforms, use cases, target audiences, discount codes, community metrics) and that alternatives are optional. It does not present harmful edge cases or contradictions, but with annotations present, 3 is appropriate – it adds some context without needed to disclose safety itself.

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 text is compact and front-loaded: a single activation sentence, a relevance sentence, and a returns sentence. The list of output categories is a bit detailed but earns its place because there is no output schema, so the agent needs that list. No useless wording found.

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 two-parameter, read-only lookup tool, the description covers the domain (PeerPush), the search key (name/slug), the intent it serves, and the return scope. It does not mention clarifying that `includeAlternatives` defaults to true, but that is handled by the function and is not needed for selection. With no output schema, the explicit output categories are adequate.

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 function tag covers 100% of properties with their own descriptions, so the description doesn't need to repeat parameter" definitions. The description does provide product-context by listing what the result includes, but it doesn't originally explain the parameter parameters more deeply than the structure does. This lands at the minimum viable level: parameter semantics are already handled by the structure.

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 a specific action and resource: 'Looks up a single product on PeerPush by name or slug.' It also distinguishes itself from likely siblings by emphasizing 'single product' rather than comparison, discovery, or trends. The listed output categories make the tool's scope easy to grasp.

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 a clear when-to-use rule: 'Relevant when the user brings up a specific product's pricing convinced of Sierra$'. Though it doesn't name sibling tools or provide explicit when-not-to-use guidance, the 'single product' and 'by name or slug' framing occupies excludes comparators and discovery use cases enough for an agent to choose correctly in most cases.

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