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

Annotations already cover read-only, idempotent and non-destructive semantics, and the description adds genuinely new behavior: results are ordered cheapest first, the result set is capped at 50 offers, and each offer carries a buy-box indicator. It does not state what happens for an untracked or unknown productId (empty list vs error) or whether the response is paginated.

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, zero padding, with the returned data and the ordering constraint front-loaded before the provenance requirement. Every clause carries information an agent would otherwise have to guess.

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 no output schema, the description correctly spends its budget describing the returned offer fields, so the agent knows what it gets back. Remaining gaps — error behavior on an invalid productId and whether offer lists are truncated silently by the 50 cap — are minor but real for a list tool.

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 carries the burden. It compensates well for `productId` by naming the authoritative source tool, but the `limit` parameter is never mentioned as such — only the 50-offer ceiling is stated, with no default, no explanation of what happens when limit is omitted, and no interaction with the sort order.

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?

Uses a specific verb and resource ("Returns the current offers of one tracked product") and enumerates the payload shape (seller, marketplace, price, shipping price, buy box flag). The word "current" plus the offer datapoints distinguish it from get_product_price_history and list_tracked_products without requiring a schema lookup.

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 prerequisite and routing instruction: `productId` must come from list_tracked_products, which tells the agent to call that tool first. It stops short of naming alternatives to avoid (e.g. use get_product_price_history for historical pricing), so the when-not case is left implicit.

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