generate_wallpaper_pack

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

No annotations are provided, so the description carries the full burden. It only states the action (generate a manifest) and the parameter, without disclosing side effects, output format, or any behavioral traits. This is insufficient for a tool with no annotation safety profile.

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 extremely concise, containing one sentence for the purpose and a brief parameter explanation. Every sentence adds necessary information, and the structure is clear and front-loaded.

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 a simple tool with one parameter and no output schema. The description covers the purpose and parameter meaning, but it lacks information about the return format or any behavioral effects. Given the absence of annotations and output schema, this leaves the description with some 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?

The description fully explains the single parameter, product_idea_id, adding that it must be an ID of a product idea with product_type='wallpaper_pack'. The schema provides zero description coverage, so this semantic addition is essential and complete.

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 the tool generates an AI image-prompt manifest for a wallpaper pack product idea, using a specific verb and resource. It does not explicitly distinguish from the sibling tool 'generate_prompt_pack', relying on the 'wallpaper_pack' product type for differentiation.

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 context by specifying the product_idea_id must reference a product with product_type='wallpaper_pack'. This gives a clear prerequisite, but it does not explicitly mention when not to use this tool or name alternatives.

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