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

Annotations already flag a non-read-only, non-idempotent mutation; the description goes well beyond them by disclosing quota consumption, caching of ready analyses, latency ('waits for completion, may take a few minutes'), and the side effect that the result is saved in the catalog. This is exactly the behavioral context an agent needs before invoking a quota-consuming mutation.

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 purpose and reuse/quota behavior are front-loaded, and the inclusion/exclusion statements are dense but justified. It is a fairly long block with several clauses, though each carries distinct information; no obvious 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?

With no output schema, the description still conveys the return payload (analysis + verbatim transcript), the persistence side effect, and the timing/quota model. For a quota-consuming mutation with a 0%-covered schema, this is close to complete.

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 0% for 4 parameters, so the description must carry the load. It hints at the language override ('brand language unless overridden') and the confirm gate ('requires confirmed AI usage'), but leaves videoId and brandId meaning implicit and does not explain the language enum. Partial compensation only.

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 verb+resource ('Analyze a catalog video'), names the pipeline, and adds the concrete output ('analysis plus verbatim transcript'). It actively distinguishes itself from siblings by declaring what it does not do (no creator's general analysis, no saving as a reference), separating it from analyze_video and save_catalog_video.

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?

Clearly frames the when-to-use conditions: it reuses a ready analysis without consuming quota, but missing/failed analysis requires confirmed AI usage plus a daily quota. The exclusions route the agent away from analyze_video and save_catalog_video. It stops short of naming those siblings explicitly, so routing is implied rather than spelled out.

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