generate_and_fetch_code

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

No annotations are provided, so the description must carry the full burden. It states that it generates a screen and retrieves code, but doesn't disclose potential side effects (e.g., screen creation persistence), failure behaviors, or whether it requires an existing project. This lack of behavioral detail is a significant gap.

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?

One sentence, front-loaded, no filler. Achieves maximum clarity with minimal words.

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 description covers the core function and return type (HTML code), but given it's a compound operation without annotations or output schema, more context about the interaction with projectId and generation behavior would improve completeness. However, schema covers params, so it's adequate.

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%, with each parameter described. The description adds no additional parameter syntax or behavior beyond the schema, so 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 uses a specific compound verb 'generate and fetch' with clear resources 'UI screen' and 'HTML code', and the 'one-step' phrasing distinguishes it from separate sibling tools generate_screen and get_screen_code.

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 the use case: when you need both generation and code retrieval in a single step, but it doesn't explicitly name alternatives or state when not to use it. The context is clear enough for inference.

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