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

Annotations already declare readOnlyHint=false and destructiveHint=false, so the agent knows this is a non-destructive write-style operation. The description adds the meaningful authorization requirement ('requires generate scope') and the inline-strategy input model, but leaves open whether generated content is persisted to a campaign or returned only, and says nothing about cost or rate limits for a generative call.

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 short, front-loaded clauses with no filler: purpose first, then the input model distinction, then the authorization requirement. The telegraphic fragments ('content-first:') are efficient but slightly clipped, which is a minor readability trade-off rather than wasted space.

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 five required parameters, no output schema, and generation semantics, the description covers inputs and names the output artifact types, which partly compensates for the missing output schema. It does not say whether the result is stored on a campaign or how it is shaped, which is the main remaining gap for a generative 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 description coverage is 100% across all five required parameters, each with its own description and example values, so the schema does the heavy lifting. The description adds only the framing that these fields collectively form the 'campaign brief' and that the strategy is passed inline, which is contextual rather than parameter-specific; baseline 3 is appropriate.

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 and resource ('generate campaign-level outreach content') and names the concrete artifacts produced (email sequence, templates), plus a disambiguating note that it works from an inline brief rather than a campaign id. It stops short of naming the closest sibling (generate_content) explicitly, so differentiation is inferred rather than stated.

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?

'content-first: takes the strategy inline, not a campaign id' gives a real selection signal against id-based tools, and 'requires generate scope' sets a precondition. However, there is no guidance on when to prefer this over generate_content or generate_audiences, which are the most plausible competing choices in the sibling list.

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