get_most_replayed

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

No annotations are provided, so the description carries the full behavioral disclosure burden. It transparently states the return components and the view-count requirement, which are useful behavioral constraints. It does not mention error behavior or rate limits, but for a read-only retrieval tool the description is reasonably transparent.

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 two sentences with no filler. It front-loads the action and output, then adds the operational constraint, making it easy for an agent to parse quickly.

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?

Even without an output schema, the description conveys the key return elements and a critical prerequisite. It could specify the exact format of intensity scores or peak timestamps, but for a single-parameter data-retrieval tool this is sufficient for correct 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?

The only parameter, url, is already fully described in the input schema as 'YouTube video URL or video ID'. The description adds no extra parameter-level detail, so the high schema coverage sets the baseline at 3.

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 and resource: retrieving the 'most replayed' heatmap data for a YouTube video. It also names the output components (intensity scores, top peaks, timestamps), which distinguishes it from sibling tools about comments, transcripts, metadata, or videos.

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 clearly scopes the tool to one video's heatmap data and includes a hard prerequisite ('Requires 50K+ views'). It does not explicitly name sibling alternatives or exclusion conditions, but the context is clear enough for selection.

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