li_get_video_analytics

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

No annotations are provided, so the description carries the full burden. It describes what data is returned but does not mention side effects, rate limits, auth requirements, or whether it is read-only (though implied). Basic transparency is present but lacks depth.

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 sentences with no fluff. The first sentence front-loads purpose and return fields, the second gives usage guidance, and the third explains scoping. Every sentence is essential and well-structured.

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?

Given no output schema and moderate complexity, the description covers return metrics, interpretation, and scoping. Missing details like response format, pagination, or time zone handling. Still fairly complete for a read-only analytics tool.

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 only 20% (one parameter described). The description adds value by explaining campaign_ids: 'Scope to specific campaigns via campaign_ids or report at account level.' However, other parameters (ad_account_id, dates, time_granularity) receive no explanation. The description partially compensates for low schema coverage but not fully.

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 clearly states it fetches video-specific performance metrics for LinkedIn campaigns, broken down by creative. It lists specific metrics and distinguishes from sibling tools like li_get_campaign_performance by specifying 'video-specific' and 'broken down by creative'.

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 gives explicit use cases: 'Use to evaluate video ad quality — high completion rates indicate compelling content; low rates signal drop-off.' It also explains scoping options via campaign_ids or account level. However, it does not mention when not to use this tool or compare directly with siblings.

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