generate_image_variants

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the core action (generating image variants) but lacks critical behavioral details: it doesn't mention whether this is a read-only or mutating operation, what permissions might be required, rate limits, cost implications, or what the output looks like (e.g., file format, size, or how variants are returned). For a complex tool with 13 parameters, this 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?

The description is a single, efficient sentence that directly states the tool's purpose without any fluff or redundancy. It's appropriately sized and front-loaded, with every word earning its place. No structural issues or unnecessary elaboration are present.

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?

Given the tool's complexity (13 parameters, no annotations, no output schema), the description is incomplete. It adequately states what the tool does but fails to address behavioral aspects (e.g., whether it's a costly operation, what the output contains), usage guidelines relative to siblings, or any higher-level context. For a generative AI tool with many configuration options, more guidance would be helpful.

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 schema description coverage is 100%, meaning all parameters are well-documented in the schema itself. The description adds no additional parameter information beyond what's in the schema (e.g., it doesn't explain parameter interactions or provide usage examples). According to the rules, when schema coverage is high (>80%), the baseline score is 3 even with no param info in the description.

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's purpose: 'Generate multiple variants of the same image from a single prompt.' It specifies the verb ('generate'), resource ('image variants'), and scope ('multiple variants from a single prompt'). However, it doesn't explicitly distinguish this from sibling tools like 'generate_image' or 'generate_multiple_images', which likely have different functionality.

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 no guidance on when to use this tool versus alternatives. There are several sibling tools (e.g., 'generate_image', 'generate_multiple_images') that appear related, but the description doesn't explain how this tool differs from them or when it's the appropriate choice. No usage context, prerequisites, or exclusions are mentioned.

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