get_async_operation_results
Manage Cloud Analytics reports and get reports data in JSON format. Returns the result of a succeeded async report operation, including report metadata (id, reportName, owner, type, createTime, updateTime, urlUI) when the operation was started against a saved report — the same shape as the sync G...
This record as markdown: /tools/doit/get-async-operation-results.md
What get_async_operation_results does on Doit
AI agents call get_async_operation_results to retrieve information from Doit without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
fileOutput | string | — | |
operationId | string | Yes | |
customerContext | string | — | Scope the request to a specific customer by ID. Required for DoiT employees (whose token isn't tied to a single customer); omit for direct customer users. |
Parameters from the server's own tool schema.
Why get_async_operation_results is rated Low
Even though get_async_operation_results only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs get_async_operation_results safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Doit, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_async_operation_results, this is the rule to start with:
get_async_operation_results is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Doit, apply this rule, and every get_async_operation_results call is checked against it from then on.
Questions about get_async_operation_results
Manage Cloud Analytics reports and get reports data in JSON format. Returns the result of a succeeded async report operation, including report metadata (id, reportName, owner, type, createTime, updateTime, urlUI) when the operation was started against a saved report — the same shape as the sync GetReportResponse, instead of requiring a second call to GET /analytics/v1/reports/{id}/config for it. Returns 404 if the operationId does not exist, has expired, or belongs to a different tenant. Returns 425 Too Early if the operation has not yet reached a terminal state — poll the operation status endpoint, which returns its own Retry-After guidance, until it succeeds. Returns 422 if the operation terminated as failed or canceled. The poll status endpoint response does not include result data inline — this is the only endpoint that returns it. It is categorised as a Read tool in the Doit MCP Server, which means it retrieves data without modifying state.
get_async_operation_results accepts 3 parameters: fileOutput, operationId, customerContext. Required: operationId. The full parameter table on this page comes from the server's own tool schema.
Register the Doit MCP server in PolicyLayer and add a rule for get_async_operation_results: 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 Doit. Nothing to install.
get_async_operation_results is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_async_operation_results 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 get_async_operation_results. 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.
get_async_operation_results is provided by the Doit MCP server (@doitintl/doit-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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