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

Annotations already declare readOnlyHint, idempotentHint and closed-world behavior, so the safety profile is covered. The description adds genuinely new context: the need must be supplied in the customer's own words, and the response is either the best products/collection with slugs and From prices or a help answer. It does not discuss failure modes or what happens with an empty/ambiguous need.

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?

Front-loaded with the core purpose, then usage rules, then prerequisites and output, which is a sensible order with no filler. The trailing list of customer phrases partly duplicates the parenthetical examples at the start, which is the only real redundancy.

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?

An output schema exists, so return values need not be spelled out, and the description still sketches them. Usage, prerequisites and sibling routing are complete for a two-parameter recommender; the only gap is that budget handling is left entirely to the schema.

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 both parameters are already documented, and the baseline of 3 applies. The description reinforces query semantics ("the need in the customer's words") and supplies sample customer phrases that map onto it, but says nothing about the budget parameter or how it influences results.

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 ("Recommends 4OVER4 print products") plus the scope it covers (a business, event or goal) with concrete examples. It explicitly contrasts with show_products and marketing_kit, so an agent can route without opening either 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?

Gives an explicit trigger ("use it when someone describes a print need but names no product") and names the alternatives with the conditions that select them: show_products for a named product, marketing_kit for several printed pieces. Nothing is left to inference.

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