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Heimdall App Store Connect MCP

customer_reviews__response__get

Read-onlyIdempotent

Fetch the developer response to a customer review by ID. Use this to view or verify replies, with optional related review details.

Instructions

Read the response for a customer review. [GET /v1/customerReviews/{id}/response]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesID from the matching list call.
includeNocomma-separated list of relationships to include Pull related records in the same call. Without it, checking a relationship costs one extra call per row returned.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv2.0.1
    • addedInput schema / properties / id / description
      Added value: +"ID from the matching list call."
  2. Changed2 schema fields changedv2.0.0
    • removedInput schema / properties / id / description
      Removed value: -"Resource identifier."
    • changedInput schema / properties / include / description
      Previous value: -"comma-separated list of relationships to include"New value: +"comma-separated list of relationships to include Pull related records in the same call. Without it, checking a relationship costs one extra call per row returned."
  3. First observedv1.3.0

TDQS

B3.2/5.0
Behavior2/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the safety profile is known. The description adds no additional behavioral context beyond the read action—no auth requirements, pagination details, or return behavior are disclosed.

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?

The description is a single sentence that is front-loaded and contains zero waste. It states the action, resource, and endpoint efficiently.

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?

For a simple read operation with strong annotations and fully documented parameters, the description is adequate for invocation. It does not explain how it differs from the similar customer_review_responses__get sibling, but the structured fields and endpoint make it complete enough for a basic read.

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?

Schema description coverage is 100%, with both parameters clearly documented in the schema (id from matching list call, include for relationships). The description adds no parameter detail beyond what the schema already provides, so baseline 3 is appropriate.

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

Purpose4/5

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

The description clearly states a specific verb and resource: 'Read the response for a customer review', and includes the endpoint. It distinguishes this from the general customer reviews list/get tools, though it does not explicitly differentiate from the similarly named customer_review_responses__get sibling.

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

Usage Guidelines2/5

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

No guidance is provided about when to use this tool versus alternatives such as customer_review_responses__get or the create/delete response tools. The endpoint is shown but there is no explicit context, prerequisites, or exclusions.

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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