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

With no annotations provided, the description carries the burden of explaining behavior, and it does list the returned data fields. However, it does not explicitly state that the operation is read-only, nor does it address edge cases such as invalid product IDs, missing prices, or how multiple printings are structured. The output schema exists and likely covers return types, but the description adds limited behavioral context beyond the field list.

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 a single, compact sentence with the core purpose front-loaded before a clear colon-delimited list of returned fields. Every phrase earns its place, and there is no redundant or filler content.

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 one-parameter tool with an output schema, the description covers the primary return content and scope. However, it omits usage guidance, alternative tool routing, and parameter semantics, leaving an agent to infer when and how to call it. It is adequate but not 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?

Schema description coverage is 0%, so the description must compensate for the undocumented product_id parameter. It only says 'for one product,' which implies product_id identifies a product, but it does not explain what kind of ID it is, where to find it, or how it should be formatted. This is minimal compensation for a parameter with no schema-level description.

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 identifies the tool as returning today's price for one product, listing specific data points like market price per printing, lowest listing, date, and page URL. It is distinguishable from sibling tools such as price_history and set_prices by emphasizing 'today' and 'one product,' though it lacks an explicit verb like 'retrieve' or 'get.'

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 phrase 'for one product' implies the tool is for single-product current-price lookups, but there is no explicit guidance on when to prefer this over price_history, sealed_prices, or set_prices. No alternatives or exclusion conditions are mentioned, leaving usage largely implied.

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