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

Annotations already cover readOnly, idempotent, non-destructive, closed-world behavior, so the description's added value is the row-level contract: newest-first ordering, first-seen timestamp, the previous good snapshot as the comparison baseline, and the source id. That is real context an agent cannot get from annotations. It stops short of covering pagination/cursor behavior or result-size limits implied by 'limit'.

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 what the tool returns and how it is sorted, followed by filter options. Every clause carries information; nothing is redundant padding.

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-only, closed-world list tool with full schema coverage and annotations covering safety, the description supplies enough: what a row contains, sort order, and all filter axes. Without an output schema, more detail on row fields/types or truncation behavior would help, but nothing required to call it correctly is missing.

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 100%, so every parameter including limit and the enum-like values for kind and category is already documented. The description restates the filter set (since as ISO date, plus kind/category/provider) without adding new semantic detail such as format nuances or default behavior beyond what the schema says. Baseline 3 applies.

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 opening clause names the specific resource (dated price changes, new SKUs, delistings, spec changes) and the ordering (newest first), which is clearly distinguishable from siblings like get_history or get_price that operate on a single SKU. It does not explicitly name a sibling or state what it is not, keeping it short of a 5.

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 description gives filter mechanics ('Filter by since, kind, category and provider'), which implies the intended discovery workflow, but never states when to choose this over get_history or search_skus. Usage is inferable rather than instructed.

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