get_design_system_recommendation

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

No annotations are provided, so the description carries the full burden. It describes the output content but does not disclose whether the tool is read-only, mutating, reversible, or what the response format is. For a generation tool, it likely returns recommendations without side effects, but this is not stated, leaving uncertainty for the agent.

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, well-structured sentence that front-loads the primary action ('Generates tailored design systems') and lists key components efficiently. It avoids redundancy and is appropriately sized for the tool's complexity. Slightly long due to enumeration, but still concise.

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 partially explains what the tool produces (design system elements) but omits the output structure, usage constraints, and any side effects. It also lacks guidance on how it differs from similar tools, making it incomplete for an agent to confidently choose and use it.

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 both parameters (project_domain and theme_preference) are documented. The description adds marginal value by mentioning 'based on your project domain' and listing some aesthetic styles, but it does not explain parameter syntax, formats, or how they map to the output beyond what the schema already provides. Baseline 3 is appropriate.

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 tailored design systems' and lists specific elements (color palettes, typography pairings, aesthetic styles, layout patterns, animation rules). This is specific and informative, distinguishing it from generic tools, though it doesn't explicitly differentiate from sibling tools like get_ui_component_blueprint or audit_ui_design_aesthetic.

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?

No guidance is provided on when to use this tool versus alternatives. The description implies it's used for generating design recommendations based on project domain, but there is no explicit 'use this when' or mention of scenarios where another tool would be more appropriate. Sibling tools cover related areas, but no differentiation is offered.

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