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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds genuinely useful behavioral context: it is advisory rather than acting on data, and it returns a 'pick + rationale + alternatives' — return-shape information that is valuable since no output schema exists.

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?

The core sentence is dense and front-loaded, which is good, but the trailing '[#66d03b]' artifact is unexplained noise that wastes space and could confuse an agent about its meaning.

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, zero-required-parameter advisory tool with no output schema, the description covers both what goes in (design/budget/audience context) and what comes out (pick, rationale, alternatives). Only the meaning of the enum values and the 'auto' fallback behavior remain unstated.

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 only 33% (budget_tier and target_audience have enums but no descriptions; design_uuid is documented in the schema). The description partially compensates by tying the recommendation to budget/premium trade-offs and a design/use-case, but it does not explain the 'auto' enum values or how target_audience influences the pick.

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 and resource ('Recommend a garment type') plus the domain scope (ApparelHub garment trade-offs: brand, budget tier, pricing floors). It is clearly distinguishable from lookup siblings like get_garment_details and find_garments by being advisory, though it never names those siblings explicitly.

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 phrase 'for a design/use-case' and the tag 'Advisory / knowledge-based' imply when the tool applies, but there is no explicit when-to-use guidance or statement of how it differs from find_garments/get_garment_details, which an agent could easily pick instead.

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