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

Annotations already cover the read-only, idempotent, non-destructive, closed-world profile, but the description adds genuinely new behavioral context: the IDE performs the mockup generation, Kloudy generates no model or image, and the selection carries no install, account connection, or spending consent. Those side-effect and consent clarifications go well beyond what the annotations provide.

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?

Six short sentences with the purpose front-loaded and each subsequent sentence covering a distinct concern (discovery alternative, generation limits, consent). It is slightly repetitive in places, but nothing is filler and the ordering is sensible for an agent scanning quickly.

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, two optional enum parameters, and full annotation coverage, the description supplies everything an agent needs: what is returned, that selection triggers no downstream action, and that the IDE rather than the server produces any artifact. No material gap remains for calling this correctly.

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 earns a bit more by giving human-readable meaning to the otherwise machine-styled enum values (vite-workbench, astro-publishing, next-portal as Vite/Astro/Next.js framework examples) and by framing the whole call as presentation-only. It still adds no format or dependency detail beyond that.

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 first sentence states a concrete action (offer three fixed framework layout examples) and names the exact options (Vite, Astro, Next.js), so the agent knows this returns a presentation choice set. It explicitly separates itself from the sibling find_mcp_tools, though the phrasing is somewhat indirect and the purpose is delivered partly through negation ('not goal-based tool discovery') rather than a plain verb+resource statement.

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?

It states when to use this tool (presenting framework layout examples) and when not to, naming the alternative explicitly: 'For tools matching a task, call find_mcp_tools and search the actual catalog.' The exclusion is unambiguous, leaving nothing to inference about tool routing.

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