Enable impressions reports

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

Beyond the annotations, it discloses the external side effect (a job created on the YouTube Reporting API for the channel), the asynchronous latency (first reports ~48 hours later, plus 30 days of history), and confirms repeat calls are harmless — consistent with idempotentHint=true and openWorldHint=true. This is exactly the kind of timing and downstream-effect context annotations cannot express.

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 tight sentences, front-loaded with what the tool does and why the Analytics API can't cover it, followed by latency and the follow-up call. No filler and no repetition of the title.

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 zero-parameter setup tool with an output schema already present, the description covers everything an agent needs: purpose, idempotency, when results appear, and which tool to call next.

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 tool takes no parameters, so there is nothing for the description to disambiguate and the baseline of 4 applies. The prose correctly implies channel-scoping comes from auth context rather than an argument.

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 names a concrete verb and resource — 'Creates a YouTube Reporting API job for the channel' — and frames it as a one-time setup for thumbnail impressions and CTR data the Analytics API lacks. That makes it clearly distinct from the read-side sibling get_impressions, which is named explicitly.

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 gives clear sequencing guidance ('one-time setup', 'Use get_impressions afterwards') and reassures that it is safe to call again. It stops short of stating an explicit when-not condition, such as skipping the call when reports are already flowing, but the one-time framing conveys the intended usage strongly.

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