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

With no annotations, the description carries the full burden and does disclose the two most non-obvious traits: the operation is asynchronous (poll adStatus) and adCancel refunds an in-flight clone. It omits auth/permission requirements, side effects of re-ingesting the same ad, and what adAssets/adStatus actually return.

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?

Front-loaded with the core purpose and workflow, and every sentence carries information. The explicit re-listing of all seven action names is redundant with the schema enum, which is the only real waste.

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 an action-dispatch tool with nested params, no output schema, and no annotations, the description covers the lifecycle, the refund behavior, and where to find per-action parameters. It leaves gaps around return values/status states, but the capabilities-tool pointer covers the biggest risk area.

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 50% and 'params' is an opaque free-form object, so the description's pointer to adgpt_capabilities with the operationId is genuinely useful. However, it supplies no per-action parameter meaning itself and largely repeats the action enum already present in 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?

The description names a concrete verb+resource ('Clone any existing ad') and lays out the full ingest → analyze → generate pipeline, which is specific enough to distinguish this from generic creative tools. It never explicitly contrasts itself with siblings like adgpt_ugc or adgpt_edit_creative, so it stops short of a 5.

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 real sequencing guidance: ingest first (URL or upload), then analyze, then generate, poll adStatus for progress, and adCancel to abort/refund. Usage context is clear, but there are no explicit 'when not to use this' conditions or named alternatives for the sibling tools.

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