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

Beyond the annotations (readOnlyHint=false, destructiveHint=false, openWorldHint=false), the description adds important behavioral context: Amazon will reject the request with otherError if the ad group already contains a product target, and an ad group cannot mix keyword and product targeting. This is useful mutation-specific transparency.

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 front-loaded with purpose and then provides the critical constraint and payload shape without unnecessary filler. However, the mix of Italian and English may reduce immediate readability for some agents, and the middle sentence is dense.

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 create tool with no output schema, the description covers the key operational constraint, mutation behavior, and keyword payload structure. It does not describe return values or the two-step preview/confirm flow, but the schema's confirm_id description covers the latter adequately.

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 67%, and the keywords parameter is an untyped array in the schema. The description compensates by specifying each keyword object's fields: campaign_id, ad_group_id, keyword_text, match_type (BROAD|PHRASE|EXACT), and bid. This adds critical meaning beyond the structured 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?

The description opens with a specific verb and resource: 'Create SP keywords.' It also implicitly distinguishes itself from sibling tools like ads_create_sp_product_targets and ads_create_sp_negative_keywords by specifying that the target ad group must be keyword-targeted and that an ad group is keyword OR product, never both.

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 a clear prerequisite and fallback: the target ad group must be keyword-targeted; if it already has a product target, Amazon rejects the call with otherError, so a dedicated keyword ad group should be created. It does not explicitly name alternative sibling tools or cover the preview/confirm workflow, leaving some guidance implied.

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