generate_claude_design_tokens

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does add context about what the generated tokens include (OKLCH palettes, glassmorphism, etc.) and output targets, but it omits important behavioral details such as whether the tool writes files, returns output directly, or has side effects. No contradictions exist with annotations.

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 a single sentence, front-loaded with the primary action ('Generates') and then listing token categories and formats. It is reasonably concise and well-structured, though the phrase 'ultra-premium' adds little informational value and could be considered fluff.

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?

The tool has 5 optional parameters, low schema coverage, no output schema, and no annotations, so the description must carry significant explanatory weight. It explains what is generated but does not cover return values, parameter roles, prerequisites, or how to combine with sibling design tools. This is insufficient for a complex generation 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?

The schema description coverage is only 40% (accentColor and primaryColor have descriptions), which is low. The description does not mention or explain any parameters, nor does it clarify how input values map to the generated token categories. It fails to compensate for the sparse schema information.

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 the tool 'Generates ultra-premium Claude Level-5 design tokens' and lists specific token categories and output formats, making the purpose specific and actionable. However, it does not explicitly differentiate itself from the sibling tool 'design_tokens', which could cause confusion for the agent.

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 implies usage through the listed output formats (Tailwind v4, CSS, JSON, Flutter) and token types, but it does not provide explicit guidance on when to choose this tool over alternatives like 'design_tokens' or when not to use it. The context is present but not stated as clear usage rules.

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