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AppTail – ASO & Keyword Research

Reply To Reviews

reply_to_reviews
Destructive

Create, update or remove public App Store review responses for apps owned by the authenticated account, using its connected App Store Connect API key. Requires write authorisation and eligible review ids. Submitted text is sent verbatim under the developer's name. Obtain approval for the exact text or requested removal before submitting. dry_run validates without publication. Accepts up to ten items and returns per-item outcomes; pending means Apple has accepted a response but has not published it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dry_runNoCheck every item and report what would happen, without publishing anything. **Worth using by default here** — it confirms the reviews resolve, the account's key reaches their apps and the text fits, before anything reaches the store.
repliesYesThe replies, up to 10 per call. Send them in one call rather than one at a time: each is answered separately, so a batch where one app is not covered still posts the rest and says which it did not.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dry_runYesTrue when nothing was sent to Apple. Every outcome is then what *would* have happened.
outcomesYesOne row per item, in the order they were sent. Read `status` per row, then `state` on the ones that posted.
max_itemsYesThe per-call cap. A request above it is refused as a whole rather than silently trimmed.
failed_countYesHow many did not do what was asked. Never report a batch as done while this is above zero — say which ones and why.
posted_countYesHow many replies Apple took. Read each one's `state` before calling any of them published.
removed_countYesHow many replies were taken down.
requested_countYesHow many items were sent.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior5/5

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

Beyond the annotations (destructiveHint, openWorldHint), the description adds substantial operational context: text is published verbatim under the developer's name, removal is publicly visible once published, calls are batched up to ten items, per-item outcomes are returned, and a 'pending' result means Apple accepted but has not yet published.

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?

The definition is front-loaded with the action and scope, then moves to prerequisites, then to behavioural details. It is dense but every sentence carries weight; the only mild redundancy is restating the ten-item limit that the schema also documents.

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

Completeness5/5

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

For a destructive, multi-item mutation tool with strong annotations and a dedicated output schema, the description covers the remaining burden: approval prerequisites, dry_run semantics, partial-batch failure behaviour, and the pending outcome. An agent has everything needed to invoke it safely.

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%, so the schema already documents dry_run, body, remove, review_id and the batching limit in detail. The description largely restates that information (up to ten items, dry_run validates without publishing) and adds little the schema does not already say, so the baseline of 3 applies.

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 opening sentence names a specific verb set (create, update, remove) and a specific resource (public App Store review responses) with scope (apps owned by the authenticated account). It is immediately distinguishable from the read-only sibling get_reviews, and the auth mechanism (connected App Store Connect API key) is stated.

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?

It gives clear prerequisites (write authorisation, eligible review ids, approval of exact text before submitting) and recommends dry_run for validation. It does not explicitly route the agent to a sibling for obtaining review ids, though the schema's review_id description points at get_reviews, which covers the gap somewhat.

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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