generate_thumbnail_prompt

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

There are no annotations, so the description must carry the full burden of behavioral disclosure. It only restates the generation action and lists arguments; it does not disclose whether the tool performs external calls, has side effects, or what the return value looks like.

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 purpose in the first sentence, followed by a compact Args block. Every line earns its place, and there is no filler or redundant verbiage.

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?

This is an unannotated tool with no output schema, yet the description only covers the basic action. It does not describe the expected output format, any prerequisites, or when to use the tool within the broader product-generation workflow, leaving important contextual gaps.

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 coverage is 0%, so the description must compensate, but the Args section only rephrases the parameter names ('originating product idea ID' for product_idea_id, 'ID of the generated product' for generated_product_id). It adds minimal meaning and does not explain why both IDs are required or how they relate to the prompt generation.

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 opens with a specific verb and resource: 'Generate an AI image-generation prompt for a product's cover/thumbnail image.' This clearly distinguishes the tool from sibling generation tools (e.g., generate_prompt_pack, generate_marketing_assets) by specifying the exact deliverable and context.

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 when-to-use guidance, prerequisites, or alternatives are provided. The description does not mention when this tool should be used over other generate_* siblings or what inputs must already exist, leaving invocation timing ambiguous.

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