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

The description goes well beyond the annotations by disclosing default persistence ('saves to Studio by default'), cost ('billable AI usage'), execution durability, mutation modes, partial failure policy, idempotency key derivation, and seat requirements for writes. It adds substantial behavioral context that annotations alone do not provide, and it is consistent with idempotentHint and destructiveHint.

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 long and includes boilerplate about response formatting and internal JSON handling that could be shortened. It also largely repeats the title verbatim in the opening, adding redundancy. While it is front-loaded with purpose, the overall length and repetitive operational guidance hurt clarity.

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?

The tool is complex (12 parameters, 0% schema coverage) but the output schema exists and many behavioral aspects are covered. Still, important parameter semantics like prompt vs instructions and expectedVersion are missing, leaving the agent to guess how to populate these fields correctly. The description is not complete enough for a tool of this complexity.

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?

With 0% schema description coverage, the description must compensate. It clarifies dryRun, idempotencyKey, and seatId/seatName behavior, but leaves the distinction between prompt and instructions unexplained, and does not address expectedVersion, approvalId, persistence, or saveToStudio. Some parameter meanings remain ambiguous, so the compensation is only partial.

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 a specific action (revise an existing saved Studio creative) and resource (creative), and enumerates editable elements (copy, imagery, layout, colors, typography, CTA, branding). It distinguishes itself from simply providing instructions to the user, but does not explicitly contrast with sibling tools like clone_creative or restore_creative_version.

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 explicit conditions for use ('when the user supplies a creativeId and asks to change...') and an explicit exclusion for dryRun ('set dryRun only when the user explicitly asks for an unsaved preview'). However, it does not name alternative tools (e.g., clone_creative, restore_creative_version) or state when to prefer them instead.

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