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

Beyond the annotations, it discloses that edits save the clip without rendering, that operations apply in order, and that delete removes only the caption while restore brings it back. It does not cover error behavior or undo semantics, but the added context is substantial for a mutation tool.

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 dense but free of filler, and the use case is front-loaded. However, the long run-on enumeration of sixteen operations is harder to scan than a structured list would be.

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?

For a complex multi-op mutation tool with an output schema, the description covers the essential context: when to use it, where word/seconds indexes come from, what each operation does, and that it only saves the clip. Nothing critical for correct invocation is missing.

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 has only 50% description coverage, and the description compensates extensively by explaining each op's arguments and meaning: word indexes from get_clip_edit, seconds, lane 1/2, fractional x/y placement, words_per_caption 1–7, and split_by_speaker behavior.

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 states a specific verb+resource: changing captions on a made clip. It also clarifies that operations are applied in order, which distinguishes it from reading captions or changing caption style.

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 gives a clear when-to-use condition ('when the person wants to change captions on a made clip') and a prerequisite source for indexes ('get_clip_edit'). It does not explicitly name when-not-to-use or alternative sibling tools, so it falls short of the highest bar.

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