generate_with_controlnet

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

Discloses that the tool does not run preprocessors and requires model installation. With no annotations, it misses details about side effects, auth requirements, or output format, but adds key operational context.

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?

Description is three concise sentences, each adding unique value: purpose, prerequisite, and input constraint. No redundancy or filler.

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 13 parameters and no output schema, the description explains core functionality but omits details about many parameters and what the tool returns (e.g., image URL). More completeness could be provided.

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 46%, and the description adds examples for controlnet_model and clarifies control_image_url expects preprocessed input. However, many parameters (negative_prompt, width, height, steps, etc.) remain unexplained beyond basic schema.

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 image conditioned on ControlNet preprocessed images, specifying types like pose, depth, canny. It distinguishes from siblings like generate_image and generate_with_ip_adapter through the mention of ControlNet.

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?

Explicitly mentions prerequisite of a ControlNet model in a specific directory and warns that the input image must already be preprocessed. Does not contrast with alternatives but provides clear when-not-to-use guidance.

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