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

No annotations are provided, so the description carries the full burden. It discloses that the tool returns a full public record, includes clean merchant links (no trackers), and explicitly states that prices are not included because they are live on the product page. This is good behavioral disclosure for a read-only tool, though it doesn't mention any potential side effects (none expected) or rate limits.

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 sentences, front-loaded with the core purpose and then adding key details. Every clause adds value: what the record contains, the clean-link guarantee, and the price exclusion. No wasted words.

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 single-parameter read tool with no output schema, the description is quite complete. It tells the agent what to expect in the response (record contents) and what not to expect (prices). It could mention that the slug must be a valid product slug, but that's implied by the parameter name and the tool's purpose. Overall, an agent can call this 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?

Schema description coverage is 0%, so the description must compensate. It explains that the 'slug' parameter identifies the product and that the tool returns the full public record for that slug. It doesn't provide format details (e.g., slug pattern), but with only one parameter and a clear description, the meaning is sufficiently conveyed.

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 the tool returns the full public record for one product by slug, listing specific content (why chosen, certifications, spec sheet, where to buy). It distinguishes itself from siblings by emphasizing 'vetted product' and 'clean merchant links, no trackers', which is unique among the sibling 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 description implies usage: use when you need the full public record for a single product by slug. It doesn't explicitly contrast with search_products or get_article, but the 'by slug' and 'full public record' phrasing makes the use case clear. It also notes what it does NOT include (prices), which helps set expectations.

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