asc_post_analytics_report_request
POST /v1/analyticsReportRequests — turn on analytics report generation for an app. accessType ONGOING (Apple keeps producing daily/weekly/monthly instances; may auto-pause after inactivity — stoppedDueToInactivity=true — delete + recreate to resume) or ONE_TIME_SNAPSHOT (single historical backfil...
This record as markdown: /tools/io-github-akoskomuves-appstoreconnect-mcp/asc-post-analytics-report-request.md
What asc_post_analytics_report_request does on Appstoreconnect Mcp
AI agents use asc_post_analytics_report_request to create or update resources in Appstoreconnect Mcp, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Appstoreconnect Mcp environment.
Why asc_post_analytics_report_request is rated Medium
This tool creates or modifies analytics report generation configuration for an app — a reversible write operation. It does not delete data (Destructive), execute arbitrary code (Execute), move money (Financial), or merely retrieve data (Read). An AI agent misusing this could spam analytics report generation, creating unwanted instances or consuming quota, hence medium severity.
From the tool's definition POST /v1/analyticsReportRequests — turn on analytics report generation for an app. Creates or enables analytics report requests with 'ONGOING' or 'ONE_TIME_SNAPSHOT' access types that generate new instances.
Attacks that exploit this kind of access
The rule that runs asc_post_analytics_report_request safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Appstoreconnect Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For asc_post_analytics_report_request, this is the rule to start with:
asc_post_analytics_report_request stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Appstoreconnect Mcp, apply this rule, and every asc_post_analytics_report_request call is checked against it from then on.
Questions about asc_post_analytics_report_request
POST /v1/analyticsReportRequests — turn on analytics report generation for an app. accessType ONGOING (Apple keeps producing daily/weekly/monthly instances; may auto-pause after inactivity — stoppedDueToInactivity=true — delete + recreate to resume) or ONE_TIME_SNAPSHOT (single historical backfill). One request per (app, accessType); duplicates are rejected. Instances appear up to ~48h later — an empty chain right after creation is normal. It is categorised as a Write tool in the Appstoreconnect Mcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Appstoreconnect MCP server in PolicyLayer and add a rule for asc_post_analytics_report_request: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Appstoreconnect Mcp. Nothing to install.
asc_post_analytics_report_request is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the asc_post_analytics_report_request rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for asc_post_analytics_report_request. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
asc_post_analytics_report_request is provided by the Appstoreconnect MCP server (@akoskomuves/appstoreconnect-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Appstoreconnect, and thousands of servers like it.
This server
Across the catalogue