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Submit for App Store review

publish
Destructive

Submit for App Store review. Requires confirm:true with authorization for this app/version; run without confirm first to see the staged result + Apple blockers. On pending, repeat unchanged arguments with the returned request_key; get_store_operation recovers a lost response.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
forceNoProceed despite non-blocking warnings shown in the preview. Leave false unless the user accepts them.
confirmNofalse (default) returns a preview and changes nothing. true performs the change; set it only after the user approves that exact preview.
build_idNoExact nomac release build; use this when replacing a rejected binary
project_idYesNoMac project ID (prj_…). push_project and connect_status list your projects.
request_keyNoOnly supply to resume an interrupted invocation with unchanged arguments
asc_submission_idNoExact Apple submission from get_review
resolve_rejectionNoExplicitly assert the selected version's rejection was fixed and mark its item ready for review

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorNoPresent only when the call failed

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.7/5.0
Behavior5/5

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

Beyond the annotations (destructive, non-idempotent, open-world), the description discloses the authorization prerequisite, the safe dry-run pattern, the pending state and request_key resumption, and a recovery tool for lost responses. These are exactly the traits an agent cannot get from annotations alone.

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?

Three tightly packed sentences with the action front-loaded and the confirm workflow, pending state, and recovery pointer following in priority order. No filler.

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?

An output schema exists, so return values needn't be described. The description covers the destructive-confirm pattern, the pending/resume edge case, and failure recovery, which is complete for a mutation tool of this complexity.

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 coverage is 100%, so confirm, request_key, and the other parameters are already documented in the schema descriptions. The description reinforces the confirm/request_key workflow but adds no syntax or format detail beyond what the schema already provides, making the 3 baseline correct.

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+resource ('Submit for App Store review') that is immediately distinguishable from read/update siblings like get_review, update_review, and review_lint. An agent knows exactly what action is being performed.

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

Usage Guidelines5/5

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

Explicitly prescribes the sequence: run without confirm first to see the staged result + Apple blockers, then repeat with confirm:true only with authorization. It also names the recovery path (get_store_operation) and the pending-resume condition, leaving no inference required.

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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