generate_fluid_scale

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

No annotations are present, so the description must carry the full burden. It only states the tool generates fluid scales and mentions clamp(), but does not disclose behavioral traits like side effects (e.g., token creation/overwriting), authorization needs, rate limits, or error handling. This is insufficient for a generation 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?

The description is extremely concise with two sentences. It front-loads the main purpose and then adds key context. Every word is necessary and no redundancy. Excellent structure.

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 the tool has 8 parameters and no output schema, the description is minimal. It does not explain the return format, how the clamp() function is constructed, or how ratio and steps interact. While the schema covers param details, the description lacks sufficient context for comprehensive understanding.

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 the baseline is 3. The description adds context about Utopia methodology but does not provide additional semantics beyond what the schema already describes for each parameter. No param details are elaborated beyond schema definitions.

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 description clearly states it generates fluid/responsive scales using CSS clamp() and references Utopia methodology. It specifies the output as viewport-aware tokens. However, it does not explicitly differentiate from sibling tools like generate_scale or suggest_scale, which might also generate scales but static.

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 does not provide guidance on when to use this tool versus alternatives. There is no mention of prerequisites, when not to use it, or which sibling tools cover similar functionality. The context of Utopia methodology is given, but no explicit usage directions.

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