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

Annotations already declare readOnlyHint=true and openWorldHint=true, so safety is covered; the description adds genuinely useful behavior: the result is a flat list of phrases (not products), and a no-match partial query returns an empty result rather than an error. That error-behavior disclosure is valuable and not derivable from the annotations.

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 tight sentences with zero waste; the identifying scope (typeahead suggestions) is front-loaded, followed by the empty-result caveat.

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-param, read-only suggest tool with an output schema and safety annotations, the description covers the nature of the return (flat phrase list) and the empty-result behavior. Little more is needed; only the lack of an explicit alternative-tool pointer keeps it from perfect.

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% with a single query param, so the schema already documents it. The description adds only the 'partial' qualifier, which reinforces but does not substantially extend the schema.

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?

States a specific verb+resource: Macy's own search-box suggestions (typeahead) for a partial query. It also distinguishes from the product-oriented siblings by noting 'no product data', so an agent can tell it apart from macys_product without opening a 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?

Clearly frames the use case as typeahead for a partial query and implies that product retrieval belongs elsewhere via 'no product data'. However, it does not explicitly name an alternative tool or state when-not-to-use beyond the implicit product distinction.

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