image_to_video

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

With no annotations provided, the description carries the full burden. It discloses that it uses a local model and that parameters have sensible defaults, but it does not describe side effects (e.g., output storage, resource usage), potential failure modes, or whether it runs synchronously. The existence of an output schema reduces the need to detail return values, but behavioral transparency remains limited.

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 two concise sentences. The first states the purpose, and the second covers optionality and alternative tools. No waste, front-loaded, easy to scan.

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 params), the description plus schema covers the essential purpose, usage, and parameter semantics. It points to alternatives and mentions the local nature, which is important context. However, it lacks information about the execution flow (e.g., job-based or synchronous) and does not explicitly mention other local alternatives, but the output schema and sibling tools help fill 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 input schema provides 100% coverage with detailed descriptions for all 13 parameters, including defaults, ranges, and constraints. The description adds only a general note that parameters are optional with sensible defaults, which is already reflected in the schema. Therefore, it meets the baseline for high schema coverage without adding significant extra meaning.

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 function ('Generate a video from an image using LTX-Video (local model)') with a specific verb, resource, and model. It distinguishes itself from cloud-based siblings by explicitly directing users to sora_video_generate or run_api_node() for cloud-based I2V, though it doesn't mention other local alternatives like wan_image_to_video.

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?

It explicitly states when to use this tool (local LTX-Video) versus alternatives (cloud-based I2V via sora_video_generate or run_api_node), and notes that only prompt and input_image are required. This provides clear usage context, though it could mention other local alternatives.

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