capcut_analyze_video_understanding

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does not state whether the tool modifies the draft, whether it is read-only, or that it invokes external AI APIs (requiring network access or API keys). The word "analyze" implies non-destructive behavior, but this is not explicit, and external dependencies are not mentioned.

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, well-structured sentence that front-loads the action and outcome. No wasted words, and it clearly communicates both the extraction and analysis purposes.

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?

Despite the tool's complexity (7 parameters, AI providers, frame extraction, no output schema), the description does not explain what the tool returns (e.g., analysis report, frame descriptions, recommended edits), nor does it mention prerequisites or side effects. An agent would need more context to know what to expect from the invocation.

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 86%, so the schema documents most parameters (model, provider, maxFrames, videoPath, intervalSec). The description adds no detailed parameter semantics beyond what's in the schema, but that is acceptable given the high baseline coverage.

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 uses specific verbs and resources: "Extract keyframes from video and analyze scene composition, emotion, visual actions, and recommended CapCut edits." This clearly distinguishes it from sibling tools, which are primarily editing/manipulation actions (add, delete, trim, apply effect, etc.), while this is an analysis tool.

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: use when you need scene composition, emotion, visual actions, or edit recommendations from a video. However, it does not explicitly state when to use this tool versus alternatives like capcut_find_visual_scenes or capcut_inspect_edit, nor does it provide any exclusions or prerequisites.

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