Record a timed screenshot sequence + ask about each frame

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

With no annotations provided, the description carries the full burden, and it delivers: it reveals that each frame gets its own vision call with the frame number in the prompt, that answers come back one per frame in order, and that sequential calls were deliberately chosen over multi-image requests due to reliability degradation. This gives the agent accurate expectations about cost and behavior.

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 longer than average, but every sentence contributes: purpose, action semantics, per-frame behavior, return ordering, rationale for sequential calls, and cost guidance. The key use case is front-loaded, and the engineering rationale is placed where it helps the agent decide rather than adding noise.

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 tool with 9 parameters, no output schema, and no annotations, the description covers the core interaction fully: what triggers the sequence, what each frame does, how the question is applied, what the result order is, and cost implications. The remaining parameter details are already well documented in the input schema.

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 coverage is 100%, so the baseline is 3. The description adds extra value by advising frameCount stay modest (3-6), explaining linear cost scaling, and clarifying that waitMs is distinct from intervalMs and has the same meaning as in tap_and_ask/swipe_and_ask. This goes beyond the schema's structural descriptions.

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 opens with a specific use case—checking an animation or effect that plays out over time—and clearly states the mechanism: perform an optional action, take frameCount screenshots spaced intervalMs apart, and ask the same question about each frame. This distinguishes it from single-shot siblings like screenshot_ask or tap_and_ask without needing to open their schemas.

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 says when to use the tool: for animations or time-based effects. It also explains when the optional action is tap, swipe, or neither. However, it does not explicitly name alternative tools or state when NOT to use this one, so the guidance is clear but not fully contrastive.

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