generate_responsive_component

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 mentions generating 'production-ready code' and saving 'Claude context for strategic decisions,' which adds some context about output quality and persistence. However, it lacks details on permissions, rate limits, or what 'saves' entails operationally, leaving gaps for a mutation 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 front-loaded with the core purpose and uses bullet-like sections (WORKFLOW, TIP, SAVES) for efficient structuring. Each sentence adds value, but 'SAVES: Claude context for strategic decisions' is somewhat vague and could be more precise.

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's complexity (10 parameters, no output schema, no annotations), the description is moderately complete. It covers purpose and usage but lacks details on output format, error handling, or integration with the generated code, which are important for a code-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?

Schema description coverage is 100%, so the schema already documents all 10 parameters thoroughly. The description doesn't add any meaning beyond what the schema provides (e.g., it doesn't explain how 'context' integrates with other params). Baseline 3 is appropriate as the schema does the heavy lifting.

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 HTML/CSS components with responsive and accessible features, which is a specific verb+resource combination. However, it doesn't differentiate from sibling tools like 'css_art_generator' or 'generate_wordpress_plugin' that might also generate code, so it misses the highest score.

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 provides clear context for when to use this tool ('Ideal for creating production-ready code, tests, and documentation') and includes a tip about workflow ('Generate unlimited iterations locally, then review with Claude'). It doesn't explicitly state when not to use it or name alternatives among siblings, so it's not a perfect 5.

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