assemble_image_ad

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

With no annotations, the description carries the transparency burden. It discloses that the tool uploads the product image and creates a client review link, which are notable side effects, and mentions credential requirements. However, it does not cover reversibility, data retention, failure modes, or rate limits, leaving some behavioral gaps.

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?

Three sentences, each earning its place: purpose, workflow, and prerequisite. It is front-loaded with the main action and contains no fluff or redundancy.

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 explains the workflow and prerequisite well, but with no output schema it does not clarify what the tool returns (e.g., the review link URL or a status). Since this is an external API integration with multiple side effects, the missing output info is a notable gap.

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 100% so all parameters already have descriptions. The description reinforces that prompt is a styling prompt and product_image_path is the image source, but adds no new parameter-specific detail beyond what the schema provides. Baseline 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 clearly states 'Generate image ad variants from a product photo using Higgsfield AI' and outlines the full pipeline: upload, generate variants with prompt, create a client review link carousel. This distinguishes it from sibling tools like create_review_link and prepare_product_asset by focusing on the generation workflow.

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 usage for generating ad variants from a product photo and notes the prerequisite of Higgsfield credentials. However, it does not explicitly compare to alternatives or state when not to use the tool, leaving usage guidance largely implicit.

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