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

Annotations already declare readOnly, idempotent, non-destructive, closed-world behavior, so the safety profile is covered. The description adds the return shape (chapter ids/titles, lab setting ids, ranges, options), which is useful given there is no output schema, but it says nothing about pagination, auth, or limits.

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 dense sentences with no filler, and the primary capability plus the payload are front-loaded. The trailing 'for show_model' clause is slightly compressed and takes a second read to parse, but nothing is wasted.

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?

With no output schema, the description correctly carries the return-shape burden by naming chapter ids/titles and lab setting ids, ranges, and options, and it supplies routing context against siblings. Only operational details (pagination, ordering) are missing, which is minor for a simple list tool.

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 100% with only two parameters, so the schema already explains slug and the zh/en enum. The description's 'one plate' phrasing loosely reinforces that slug selects a single plate, but adds no format or constraint detail beyond 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 and resource ('Lists one plate's chapters') plus the secondary payload (lab settings), and ties itself to show_model. The 'plate/chapter' vocabulary is domain-specific but consistent, so an agent can tell it apart from search_models and show_model.

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 the user wants a different part of a plate than search_models returned, or wants to set the lab settings. It names the competing tool but does not state the inverse case (when to prefer search_models/show_model), so it stops short of full when/when-not routing.

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