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

With no annotations, the description must carry behavioral disclosure. It usefully states that the backend performs the analysis and returns provider-agnostic JSON containing issues and recommended edit actions, which tells the agent the output shape and that analysis is server-side. However, it omits operationally important traits for a video-analysis call: expected latency/async behavior, cost implications of exporting and analyzing, and whether it mutates or locks the edit.

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?

Three tight sentences: what it does, when to prefer it, and what comes back. Front-loaded with the action and zero 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?

There is no output schema, but the description compensates by describing the return as a structured report with issues and recommended actions. It is nearly complete for a two-required-param tool; only the async/cost dimension of a heavy video-analysis operation is unaddressed.

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 100%, with mode and focus already documented via enums and descriptions, so the baseline is 3. The description adds no extra meaning about how mode or focus change the review, leaving the schema to do all the work.

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?

States a specific compound action — export and analyze the current edit — and names the deliverable (structured video review report). The sibling distinction from watch_video is made explicit, so an agent can route correctly without opening either schema.

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?

Gives an explicit when-to-use rule ('user asks to watch, review, analyze, or improve a film') and names the competing tool (watch_video) with a 'prefer this over' directive. This is the strongest form of routing guidance.

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