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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety profile is fully covered. The description adds the scope ('one product') and roughly what comes back, but the output schema already carries return content, so the marginal behavioral disclosure is modest.

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?

A single sentence with no filler; the sequencing instruction is front-loaded and the returned payload is itemized compactly.

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?

With a rich annotation set, a present output schema, and full parameter documentation, the description only needs to convey purpose and sequencing, which it does. Only the lack of sibling routing (vs `card_price`/`price_history`) keeps it from being fully complete.

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?

Only one parameter and schema coverage is 100%, so the schema and its own description ('Product id from `search` results') do the work. The description reinforces the dependency on `search` but adds no syntax or format detail beyond that.

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?

States a specific verb ('read one product') and enumerates the returned fields: market price per printing, 90-day move, page URL. It clearly distinguishes itself from `search` by contrast, though it does not differentiate from siblings like `card_price` or `price_history` that sound thematically similar.

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?

Gives an explicit sequencing prerequisite ('use this after `search`') and clarifies it returns data for a single product rather than a list. It stops short of naming the similar-looking siblings (`card_price`, `price_history`) and when one would be preferred over this one.

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