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

With no annotations, the description carries the full burden and does well: it discloses that proposals require the founder's approval and that nothing changes in Apple Ads before that, which is critical non-destructive context for an agent. It omits auth requirements and rate/scope limits, so it stops short of a 5.

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 core is front-loaded and dense with useful detail, but the single-sentence run-on is hard to parse and the trailing fragments 'Growth. Free.' add no operational value. Trimming those would tighten it without losing information.

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 two-param review-and-propose tool with no output schema and no annotations, the description explains the metrics read, the kinds of proposals generated, and where approval happens (the results app's App Store page). That is close to complete; only tool-routing against ads_propose is missing.

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 100%: both 'days' and 'targetCpi' are already fully documented, including defaults and bounds. The description corroborates the time window and target cost per install but adds no syntax, format, or edge-case meaning beyond the schema, so the baseline of 3 applies.

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 specific verbs and resources: reads Apple Ads (campaigns, keywords, search terms) and proposes concrete changes (keywords, negatives, bid moves, pauses, budgets). The change types make the purpose very concrete. However, it never names or distinguishes itself from the sibling ads_propose, leaving the reader to infer which tool actually applies proposals.

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 workflow it describes (review performance, then propose optimized changes), which is enough to know roughly when to reach for it. But there is no explicit when-to-use/when-not guidance and no reference to alternatives such as ads_propose or keyword_research, even though those siblings overlap heavily.

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