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get_review_summary

Aggregate review intelligence for a Shopify app including rating distribution, sentiment breakdown, monthly review velocity, and top pain points. Get app health insights without reading raw reviews.

Instructions

Aggregate review intelligence for a Shopify app: rating distribution, sentiment breakdown (positive/negative/neutral), review velocity per month for the last 12 months, and the top AI-extracted pain points. Much cheaper than reading raw reviews — start here for app health.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesApp Store slug — the last path segment of apps.shopify.com/<slug>. Use search_apps first if you only know the app name.
Behavior3/5

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

No annotations are provided, so the description carries the burden. It lists outputs but does not disclose authentication needs, rate limits, or side effects. The behavior is implied to be read-only but not explicitly stated.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences with no wasted words. The first sentence lists the outputs and the second gives a usage suggestion. Perfectly concise.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the single parameter with full schema coverage and no output schema, the description lists the return values adequately. It provides context with sibling tools and suggests this as a starting point, but could mention error handling or data availability.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The parameter 'slug' has 100% schema description coverage with a clear explanation. The tool description does not add extra meaning beyond the schema, so baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it aggregates review intelligence and lists specific analytics (rating distribution, sentiment, velocity, pain points). It distinguishes from raw reviews by saying 'Much cheaper than reading raw reviews' and implies it's for app health check.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context by saying 'start here for app health' and contrasting with raw reviews. However, it does not explicitly exclude other sibling tools like compare_apps or get_app.

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

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