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

The description reveals that the tool operates on masked areas and claims high accuracy, which is useful behavioral context. However, it does not disclose details like the need for a frame index, the asynchronous nature, or the return format. Annotations provide the mutation hint (readOnlyHint=false), and the description does not contradict them.

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 three sentences and efficient, but the first sentence repeats the tool name, adding slight redundancy. The use cases are helpful examples and the prose is not overly verbose.

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 complex request schema with four variants and a polling parameter, the description gives a high-level overview but does not guide selection between URL vs file ID inputs or explain the frame_idx requirement. The output schema exists, so return values need not be described, but the missing operational guidance for an agent to invoke the tool correctly lowers the score.

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 already provides detailed descriptions for all nested parameters (frame_idx, file URLs/IDs), but the tool description adds little beyond the concept of masking. With only 50% top-level schema coverage, the description should compensate but does not explain parameters like frame_idx, the source/mask relationship, or the choice between URL and file ID variants.

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 removes unwanted elements from video content using masked areas, with specific use cases (tourists, clutter, reflections). It distinguishes from sibling tools by explicitly targeting video content, unlike AI-Object-Removal-Pro which is likely for images.

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 concrete scenarios (crowded backgrounds, cluttered environments, reflections) that clarify when to use the tool. However, it does not mention alternatives or when not to use it, so it lacks explicit exclusions or comparisons to other tools.

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