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

Annotations already declare readOnly/idempotent/non-destructive, so the safety profile is covered. The description adds genuinely useful behavior beyond that: the `insight` field can be null and what to do, and the Indie plan prerequisite (trial counts). It does not cover rate limits or generation latency, keeping it at a 4.

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 before the output enumeration, and the null-handling and plan note are placed last as operational details. It is dense with parenthetical lists but every clause carries distinct information, with little redundancy.

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?

Although no output schema exists, the description characterizes the return payload in detail (themes, frequency, quotes, trend states, sentiment, feature requests, delta vs previous analysis) and covers the null/empty case plus the required plan. An agent has everything needed to call and interpret it.

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 100% schema description coverage, both parameters (app_id and country) are already fully documented in the schema, including that app_id is a Sonar UUID not a store id and that country drives per-country generation. The description adds no parameter-level syntax or semantics beyond that, 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 a specific verb and resource ('the latest AI review analysis for a tracked app') and enumerates the concrete outputs (named themes, frequency, quotes, trend movement, sentiment, feature requests). It distinguishes itself from the raw-review sibling sonar_app_reviews by emphasizing AI-generated analysis rather than review listing, so an agent can tell them apart without opening either schema.

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?

Explicitly names the alternative (sonar_generate_review_insights) and the selecting condition (insight is null when none exists yet), plus notes the Indie plan requirement. It lacks a clear 'rely on sonar_app_reviews instead when you want raw reviews' exclusion, so it falls just short of full when/when-not coverage.

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