calculate_engagement

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

No annotations are provided, so the description carries full burden for behavioral disclosure. It explains that the tool calculates rates from view count, but it does not define the formulas, disclose any rate limits or dependencies, mention what happens with missing/invalid data, or explicitly state whether this is a read-only computation.

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 a single concise sentence with no filler, front-loading the action ('Calculate') and then specifying the resource and outputs. Every phrase adds relevant information.

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 one-parameter tool with full schema coverage, the description provides enough surface-level context to invoke it, but without an output schema it does not fully specify the return structure or how rates are defined. A complete definition would clarify the exact output shape and any edge cases.

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 fully describes the single parameter url as 'YouTube video URL or video ID', providing 100% coverage. The description adds no further parameter-level detail, so it stays at the baseline for well-covered schemas.

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, and output: 'Calculate engagement metrics for a YouTube video' and enumerates the exact metrics (like rate, comment rate, overall engagement rate). This clearly distinguishes it from sibling tools like get_video_metadata or get_video_comments, which serve different purposes.

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 implies use when a caller needs engagement rates, and the metrics list gives contextual clues. However, it does not explicitly state when this tool should be preferred over sibling tools, nor does it mention any exclusions or alternatives.

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