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

No annotations are provided, so the description carries the full burden, and it does substantial work: it discloses the draft-only state, who initiates the live test, the 90-day maximum, that only icon/screenshots/previews are tested (not text), and the 3-treatment cap. It stops short of covering permissions, error behavior, or what listing returns.

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?

Purpose is front-loaded in the first clause, and the following sentences add real constraints rather than filler. The trailing 'Growth. Free.' fragments are low-value tags that do not earn their place.

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 6-parameter tool with no output schema and no annotations, the description supplies the operational and behavioral context an agent needs: draft status, treatment limits, what Apple tests, the test duration, and the human-in-the-loop start. The unresolved gap is the relationship to the sibling experiment_* tools.

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 only 33%, so the description must compensate and does so partly: it clarifies trafficProportion is a percent and that treatments are up to 3 sets of captioned screenshots. But name, appId, action and locale are left entirely to the schema, so a meaningful coverage gap remains.

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?

States a specific verb and resource: 'List the app's product page tests, or set one up as a draft', which makes the list/create duality clear. However, siblings named experiment_create, experiment_results and experiment_close exist, and the description never explains how this tool differs from them, leaving sibling differentiation unaddressed.

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?

Usage is implied by the draft framing ('set one up as a draft') and the workflow note that the founder starts it from the results app or App Store Connect, which tells the agent not to claim it is running. But there is no explicit when-to-use vs the experiment_* siblings, and no stated prerequisites for listing vs creating.

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