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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false. The description adds useful behavioral context beyond annotations: it explicitly defines failure behavior for unauthenticated users or zero-credit accounts and prohibits the model from drafting prompts in those cases.

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 short and front-loads the core purpose before the enforcement rule. The all-caps emphasis and repeated prohibition language are slightly heavy-handed, but no sentence is fundamentally wasteful.

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?

For a simple two-parameter generation tool with full schema coverage and no output schema, the description covers purpose and critical failure behavior adequately. It is not fully complete because it omits sibling routing guidance and any indication of what the generated prompt output looks like.

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 the required 'key' and 'topic' parameters are already well documented in the input schema. The description does not add further syntax, format, or validation details beyond what the schema provides, so the baseline of 3 applies.

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 states a specific verb and resource: generating structured, production-grade prompts with PromptGPT Engine v2.0. It is clear enough to distinguish from a generic prompt tool, but it does not explicitly differentiate itself from sibling tools such as optimizePrompt.

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 a prerequisite condition: if the user is unauthenticated or has 0 credits, the model must not draft a prompt. However, it does not explain when to use this tool versus siblings like optimizePrompt, checkBalance, or syncAccount, leaving routing guidance implicit.

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