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

Annotations only declare a mutation with open-world scope; the description far exceeds that by disclosing the exact guardrails (only decreases, 40% floor, no lowering where already below US price at FX), the approval gate (every proposal needs founder Approve and nothing changes beforehand), and the measurement caveat (no price A/B test; before/after reads per country). This is unusually rich behavioral disclosure and consistent with destructiveHint=false.

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 purpose is front-loaded, but the body is a dense chain of clauses crammed into few sentences, mixing pricing logic, approval workflow, and measurement caveats without separation. The trailing 'Growth. Free.' tagline adds no operational value and should be cut.

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 mutating, open-world tool with no output schema, the description covers behavior and guardrails well and hints that proposals surface on the results app's App Store page for approval. It does not describe what a call returns (a list of proposals? per-country rows?) or what the appId argument means, so an agent cannot fully predict the outcome of an invocation.

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?

There is exactly one parameter, appId, with 0% schema description coverage, and the description never mentions it or clarifies whether it is optional (required count is 0). It alludes to 'the app' only obliquely, leaving an agent unsure what to pass or what happens when it is omitted. The description therefore fails to compensate for the schema gap.

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 first sentence states a specific verb and resource: propose a lower subscription price per country, derived from World Bank price levels and snapped to Apple price points. It is clearly distinct from siblings like app_purchases or offer_plan, though it never names an alternative tool explicitly. The trailing 'Growth. Free.' fragment is noise that dilutes an otherwise precise statement.

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 specifies the targeting condition (countries with first-time downloads and opened listings) and hard constraints (decreases only, floor of 40% of current price, skip countries already below US price at FX). However, it never says when to call this versus app_purchases, offer_plan, or boost_plan, nor what to do if no countries qualify. Usage is implied rather than instructed.

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