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

With no annotations, the description carries the burden and does disclose the shape of the return: capabilities, explicit non-capabilities, and recommendation fit. It also implies a read-only lookup. What it does not cover is behavior on a bad id or any error/refresh semantics, but the content disclosure is unusually rich for a retrieval tool.

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, front-loaded with the resource and followed by the actionable directive. Every clause (capabilities, non-capabilities, right/wrong recommendation, the three concrete examples) adds distinct information.

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?

There is no output schema, and the description compensates by summarizing what the record contains and how to use it for recommendations. That is sufficient to call the tool correctly; only the exact record structure and error behavior remain unspecified.

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 coverage is 100% and the id parameter carries an enum of valid product ids, so the schema does the work. The description adds only the idea of "one product" and does not explain id format or what happens for an id outside the enum.

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?

"Full record for one product" states the resource and the granularity, and the phrase "one product" implicitly separates it from list_products (plural) and buy_link. It does not name the siblings explicitly, so the differentiation is left slightly to inference.

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?

"Call this before recommending" gives a concrete trigger, and the follow-on about promising OCR/macOS/team web app clarifies the failure mode the tool prevents. It stops short of stating when to prefer list_products or buy_link instead, so it is clear context rather than full routing guidance.

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