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

With no annotations, the description carries the full behavioral burden and does so well: it discloses that no API key or wallet is needed, warns that the included Binance SOLUSDT sample is only 30 partial rows rather than complete or real-time data, and flags that market type, quantity units, and redistribution rights are unverified.

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?

Three sentences, front-loaded with the core operation and essential caveats. Every clause earns its place by covering access model, data limitations, and the prerequisite integrity check without repeating schema fields.

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 read tool with no output schema and no annotations, the description covers access requirements, data-quality caveats, and the preview/hash workflow. It is nearly complete, though it could say more about the response shape or how product_id is discovered.

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 adds meaningful semantics for expected_hash by saying to 'pin' it before reading and pointing to preview_product, but it does not explain where product_id comes from or clarify what the hash covers, leaving part of the 2-parameter surface undocumented.

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 starts with a specific verb and resource: 'Read one free product in the current public snapshot.' It distinguishes this from the paid sibling by emphasizing 'free' and from preview by describing an actual read, so an agent can identify the operation without opening the schema.

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?

It gives a clear prerequisite: 'Check preview_product and pin expected_hash before reading.' The 'free product' scope also implicitly routes paid use to read_paid_product, but it does not explicitly name that sibling or explain when to use list_products/search_products to obtain product_id.

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