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

No annotations are provided, so the description carries the full behavioral burden. It does disclose the shape of the returned content (rules plus a CSS recipe), which is meaningful output transparency, but says nothing about read/write nature, permissions, or limits. The 'get_' prefix weakly implies read-only, so this is adequate but thin for a bare-annotation tool.

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?

A single tight sentence that front-loads the returned content and ends with the use case. Nothing is wasted, though the dash-clause and heavy comma list make it dense to parse.

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 and no annotations, the description must do more, and it does characterize the return bundle well. However, the load-bearing term 'noodle' is undefined domain jargon and the 58-value enum is left unexplained, so an agent still needs other tools (e.g. get_noodle, list_noodles) to interpret the identifier it must pass.

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 0% and the single 'id' parameter is an enum of 58 opaque values (mian, yangchun, shio, ...). The description only says 'of one noodle', telling the agent the id selects a noodle but never explaining what these values signify or how to choose among them. For a 0%-covered, jargon-term parameter, this leaves a real gap.

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 resource and enumerates its contents (philosophy, principles, shape/surface/colour/type/motion/data rules, extension rules, CSS recipe) of one noodle. This is clear enough to distinguish from get_component or get_template, though it does not explicitly name its closest siblings get_noodle and get_noodle_css, whose surface it partly overlaps with via the 'CSS recipe' mention.

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?

Provides a concrete when-to-use: 'use it to design components MIAN does not ship in exactly that style.' That is a real selection condition that routes the agent to this tool rather than a shipped-component tool. It names no alternatives or exclusions, so it stops short of a full when/when-not statement.

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