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

With no annotations, the description carries full responsibility for disclosing side effects, and it does so strongly: it explicitly warns that it SPENDS CREDITS, STARTS REAL OUTREACH, and is the most consequential tool. It also reveals the internal sequence of buying the snapshot then running a campaign, which is genuinely useful behavioral context.

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 three dense sentences with all critical warnings front-loaded. Every sentence adds value: the action, the side effects, the consequentiality, and the approval precondition. There is no filler or repetition of schema details.

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 such a consequential tool, it covers the essential behavioral context: credit cost, real outreach, the buy-then-launch sequence, and the mandatory user approval gate. However, it does not explain the meaning of the 'id' parameter or what a successful call returns, leaving a small but important gap for an agent selecting arguments.

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 description coverage is 0%, so the description must compensate by explaining what 'id' refers to, but it never does. The only parameter is a bare string 'id', and the description does not clarify that this is the audience set ID obtained from preview_launch_audience_set. This creates a real invocation ambiguity.

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 clear verb-resource relationship: it buys the audience-set snapshot and then launches outreach against it. It distinguishes this combined action from single-step siblings like buy_audience_set and launch_campaign, and it is specific about the consequential scope.

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 an explicit precondition: only call after the user has reviewed preview_launch_audience_set and explicitly approved. It does not name alternative tools or when-not-to-use cases beyond 'only after approval', but the precondition is clear and actionable.

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