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

Annotations already declare readOnlyHint, idempotentHint and openWorldHint=false, so the safety profile is covered. The description adds that results carry risk scores, which is useful output context, but says nothing about pagination, ordering, or what happens when no adaptations exist.

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?

A single front-loaded sentence with no filler. It is efficient, though slightly thin for a tool that returns scored results.

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?

There is no output schema, so the description is the only source on return values; it names 'risk scores' but not the shape of a result, ordering, or pagination behavior. Adequate to call correctly, but not complete for interpreting results.

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%, so both limit and project_id are already documented with bounds, default, and format. The description only restates that the project filter is optional, adding no syntax or behavioral detail beyond the schema.

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 ('List') and resource ('culturally adapted ad copy with risk scores'), which clearly separates it from generate_adaptations (creates) and review_adaptation (single-item review). It doesn't explicitly name those siblings, but the read-vs-create distinction is implicit in 'List'.

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?

'optionally for one project' hints at the project_id filter use case, but there is no explicit guidance on when to call this versus generate_adaptations or review_adaptation, nor any stated prerequisite such as needing an existing project.

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