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

With no annotations, the description fully carries behavioral disclosure. It reveals that the server reads source settings once, preserves Smart+ and Spark identity semantics, keeps new ads disabled, binds one aggregate approval, and applies specific timestamp replacement/retention rules. These are non-obvious behaviors not inferable from the schema.

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 dense but non-redundant; each clause adds a constraint or mode detail. It is a single heavy paragraph rather than structured bullets, which makes scanning harder, but there is no filler or repetition.

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?

Given 10 parameters, no output schema, and no annotations, the description is remarkably complete: mode selection, constraints, timestamp behavior, and exclusions are all covered. It could add an explicit note about the return value or downstream confirm/deny step, but that is a minor gap given the schema void.

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 0%, and the description compensates by mapping most parameters: advertiser_id, source_ad_id/source_ad_ids, copies ranges, copy_mode values, execution timestamps, and target campaign/ad group IDs. Minor gaps remain: append_mode value semantics are only implied by the 'Grouped append' paragraph, and the creative object's internal shape is unspecified beyond 'tenant-owned creative.'

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 object: 'Prepare a TikTok-native copy without publishing.' It clearly distinguishes the single-source and grouped-append modes, and differentiates this from confirm/deny and clone-structure siblings by emphasizing preparation, non-publication, and TikTok-native 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 explicitly describes two invocation paths with parameter requirements, states that fresh mode requires a tenant-owned creative, and notes that grouped copy supports reuse only. It also gives explicit negative guidance: same advertiser only, never use Meta append-adset or client-side fan-out.

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