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

With no annotations, the description carries the full burden, and it does disclose one non-obvious behavior: queries get rewritten with age/category cues rather than passed through verbatim. It still omits return shape (what a 'suggestion' looks like), pagination/limit behavior, and any rate or permission constraints.

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?

Four short sentences, front-loaded with the core action and followed by behavior and prerequisites. No wasted words, though the fragments are terse enough that some clarity (e.g. return format) is sacrificed.

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?

Covered: action, a behavioral trait, a usage context, and required inputs. The residual gap is that with no output schema the description never says what comes back, and sibling differentiation is missing; given the 6-param tool with strong schema coverage, this is a modest rather than severe omission.

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 coverage is high (83%), so the parameters are largely self-documenting and baseline 3 applies. The description adds a little by tying 'age/category cues' to ageBand and interest, but doesn't clarify how those interact or what happens when they're omitted.

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: 'Search Amazon for baby registry / shopping-list ideas', plus a secondary trait (query rewriting with age/category cues). It's clear what the tool does, but it never distinguishes itself from the sibling search_catalog, so an agent can't immediately tell them apart.

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?

'Use when building a recommendation list' gives a usage context, and 'Requires marketplace + locale' flags prerequisites. However, no alternative is named — with search_catalog and resolve_product as siblings, the agent is left to infer which search path to choose.

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