landscape_image

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

No annotations are provided, so the description carries full burden. While it mentions the tool generates images and works for cover images, it lacks critical behavioral details: whether this is a read-only or write operation, what permissions are needed, whether it makes external API calls, rate limits, or what happens on failure. For a generative AI tool with no annotation coverage, 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 extremely concise with just two short sentences that pack essential information: tool function, dimensions, use case, and sibling relationship. Every word earns its place with zero waste, making it front-loaded and easy to parse.

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 complexity of an AI image generation tool with no annotations and no output schema, the description is incomplete. It doesn't explain what the tool returns (e.g., image file path, success status), error conditions, or behavioral constraints. While purpose and usage are clear, critical operational context is missing for a tool that likely involves external services and file system operations.

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 the schema fully documents all 6 parameters. The description adds no parameter-specific information beyond what's in the schema. According to guidelines, when schema coverage is high (>80%), the baseline score is 3 even with no param info in the description, which applies here.

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 with specific verb ('Generate') and resource ('landscape AI image'), including exact dimensions (1536x1024) and use case ('works great for cover images'). It explicitly distinguishes from sibling 'generate_ai_image' by calling itself a 'shortcut' for that tool, providing clear 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 provides explicit usage guidance by stating this is a 'shortcut for generate_ai_image,' indicating when to use this tool versus its sibling. It also implies context with 'works great for cover images,' suggesting appropriate use cases. No misleading guidance is present.

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