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App Store Change Intelligence

app_review_changes

PAID ($0.05 USDC on Base via x402). Review change detection vs history: new reviews, removed reviews, and flags every new negative review (1-2 stars). Use for "did our app get bad reviews", review monitoring, complaint/bug outbreak alerts, reputation-risk tracking after a release.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
targetYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and handles the most decision-critical trait: it is a paid call ($0.05 USDC on Base via x402), which an agent must know before invoking. It also discloses what it compares against (history) and what triggers a flag. It omits any note on auth setup, rate limits, or whether repeated calls re-charge.

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

Conciseness4/5

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

Front-loads the payment cost first, then the behavioral summary, then use cases in a compact two-sentence structure. Dense and efficient, though the quoted use-case list is slightly padded.

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

Completeness3/5

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

For a paid, single-parameter tool with no output schema and no annotations, the description covers cost and return content reasonably well, but the schema itself is bare and 'target' is undefined, leaving a critical gap an agent cannot resolve from any structured field.

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

Parameters2/5

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

There is one parameter, 'target', with 0% schema description coverage, and the description never explains what it accepts (app ID, bundle ID, package name, or URL) or its format. This leaves the only required input entirely undefined for the agent.

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?

States a specific verb and resource (review change detection vs history) and enumerates concrete outputs: new reviews, removed reviews, and flagged 1-2 star negatives. An agent can distinguish this from app_snapshot or app_landscape without opening their schemas.

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?

Gives clear triggering contexts: 'did our app get bad reviews', review monitoring, complaint/bug outbreak alerts, reputation-risk tracking after a release. Strong when-to-use guidance, though it never names a sibling alternative or states when NOT to use it.

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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