ga4_create_google_ads_link

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

No annotations are provided, so the description carries the burden. It discloses side effects (auto-audiences created, conversion import behavior), the confirm flag requirement, and the customer_id format. It does not mention whether the operation is reversible or what the response contains, but the output schema exists and the key behavioral traits are covered.

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 compact and front-loaded: the main action and side effects come first, followed by a concise Args section. Every sentence adds value, and the confirm warning is placed where it is most likely to be noticed.

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 4-parameter tool with an output schema and no annotations, the description covers the critical behavioral context (auto-audiences, conversion import, confirm requirement). It could be more complete by explaining property_id and ads_personalization_enabled, but the core call semantics are sufficiently clear.

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. It explains customer_id format ('10-digit Ads customer id, dashes ok') and confirm semantics ('must be true to actually create'). It does not explain property_id or ads_personalization_enabled, but those are reasonably inferable from their names and defaults.

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 clearly states the verb ('Link'), the resource ('a Google Ads account to a GA4 property'), and the key side effects (creates auto-audiences and enables conversion import). It is distinguishable from siblings like ga4_list_google_ads_links and ga4_delete_google_ads_link.

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?

The description explains what the link accomplishes and notes the biddable-in-Ads prerequisite for conversions to import. It does not explicitly say when to use this tool versus alternatives, but the context is clear enough for an agent to infer this is the creation action among the google_ads_links siblings.

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