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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds useful content context (sale-price detection, per-variant prices) but says nothing about pagination, latency, or data freshness. With annotations doing the heavy lifting, a 3 is appropriate.

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 the return payload followed by the parameter note. The field enumeration is long but each item earns its place by telling the agent what it can retrieve. No filler.

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 single-parameter detail tool with a declared output schema, the description is essentially complete: it explains the input source and previews the payload. An output schema means return values need not be fully explained, so the remaining gap is minor.

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%, and the single product_id parameter is already documented in-schema as a 4–15 digit numeric ID from the ?ID= query parameter. The description merely restates the same fact, adding no new syntax or edge-case guidance, so the 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 description names a specific resource (one Macy's product's full detail) and enumerates exactly what that detail contains: name, brand, description, department/division, breadcrumb, pricing with sale detection, availability, images, rating, and color variants. This makes it easy to distinguish from the sibling macys_product_reviews (reviews) and macys_suggest (query suggestions).

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?

Usage is implied rather than stated: the ?ID= parameter hint makes clear this is a lookup by product ID, but there is no explicit statement of when to choose this over siblings like macys_suggest or macys_product_reviews. No exclusions or prerequisites are given.

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