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

With no annotations, the description carries the full burden and does so thoroughly. It discloses that filling-up kits return only currently existing parts, that `look` and `terrain` are optional contextual data, that `layout` appears only when the connection owns the kit, and that `composition` is always available. It also warns that omitting `look` and `terrain` yields a misleading flat-floor scene, which is a genuine behavioral gotcha.

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 description is front-loaded with a clear purpose and every sentence contributes useful context. However, it is long and runs as one dense paragraph, with illustrative asides like the Coral Reef water example, so it is not as concise or structurally scannable as it could be.

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?

Given there is no output schema and no annotations, the description covers nearly everything an agent needs: what the call returns, ownership-dependent fields, licensing/account implications, the difference between just reading parts and actually building a place, and the alternative `build_the_whole_place` approach. It is self-sufficient for correct selection and invocation.

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?

Input schema coverage is 100%, so the baseline is 3. The description does not add much detail about the `id` or `compact` parameters beyond what the schema already says; its extra explanation focuses on returned fields such as `look`, `terrain`, `layout`, and `composition`, not on the parameters themselves.

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 opening sentence states the operation precisely: 'Every published part of one kit, with the same detail get_asset gives.' It clearly identifies the resource (one kit), the scope (all published parts), and distinguishes it from the sibling get_asset by saying it gives the same detail for every part.

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 description gives explicit when-to-use and when-not-to-use guidance: for a filling-up kit, 'recommend its parts rather than the kit' because it is not sold as a bundle yet; and for building a place, 'do not read the rows' but use `build_the_whole_place` instead. It also covers ownership-dependent behavior for `layout`, making the conditions for richer output clear.

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