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app-store-connect-mcp

app-store-connect-mcp

by devinwang
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
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customer_reviews_response_get_to_one_relationship

Retrieve the response relationship for a customer review by ID, so you can check whether a developer reply exists.

Instructions

GET /v1/customerReviews/{id}/relationships/response (GET /v1/customerReviews/{id}/relationships/response)

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "id": "<id>"
    },
    "name": "customer_reviews_response_get_to_one_relationship"
  }
}

Input Schema

NameRequiredDescriptionDefault
idYesthe id of the requested resource

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.5.0

TDQS

C2/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full disclosure burden, yet it offers only the raw endpoint. 'GET' weakly implies a read, but there is no statement about authentication, whether the relationship can be empty, or what the endpoint returns. For a tool with zero annotation coverage this is a substantial gap.

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

Conciseness2/5

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

The text is short but redundant: the identical path string is repeated twice, once bare and once in parentheses. It is not front-loaded with any useful information and wastes its only sentence on duplication.

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

Completeness2/5

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

For a single-parameter read tool with no output schema and no annotations, the description should at minimum clarify what relationship is fetched and how it differs from its sibling. It supplies none of that, leaving the agent unable to tell which of the two response-fetching tools to call.

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?

There is a single parameter ('id') and schema description coverage is 100%, so the schema already documents it fully. The description adds nothing about the id's expected form (review id vs. response id) – notably it names the relationship 'response' but the path takes a customerReviews id – so baseline 3 is appropriate.

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

Purpose2/5

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

The description restates the tool name as an HTTP path – 'GET /v1/customerReviews/{id}/relationships/response' – which is essentially a tautology of the name and title. It conveys the verb (GET) and resource path, but adds no meaning beyond what the identifier already implies, and does nothing to distinguish it from the near-identical sibling customer_reviews_response_get_to_one_related.

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

Usage Guidelines1/5

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

There is no guidance on when to use this tool, what prerequisite an agent must satisfy, or how it differs from the sibling get_to_one_related variant that likely returns the same response object in a different shape. An agent is left to infer everything from the name.

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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