Download inputs and outputs for actions in a flow run via SAS blob links from the live Power Automate API. Without actionName: returns top-level actions (optionally filtered by name). With actionName: calls the PA repetitions endpoint to return every execution of that action across all foreach it...
Part of the Flow Studio - Power Automate MCP Server server.
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AI agents call get_live_flow_run_action_outputs to retrieve information from Flow Studio - Power Automate MCP Server without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though get_live_flow_run_action_outputs only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
{
"version": "1",
"default": "deny",
"tools": {
"get_live_flow_run_action_outputs": {}
}
}See the full Flow Studio - Power Automate MCP Server policy for all 33 tools.
These attack patterns abuse exactly the kind of access get_live_flow_run_action_outputs gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
Download inputs and outputs for actions in a flow run via SAS blob links from the live Power Automate API. Without actionName: returns top-level actions (optionally filtered by name). With actionName: calls the PA repetitions endpoint to return every execution of that action across all foreach iterations. Each repetition record includes repetitionIndexes (scope name + itemIndex per nesting level), status, error, and the resolved inputs/outputs blobs. Use iterationIndex to pin to a single iteration (matched against the innermost repetitionIndexes[].itemIndex); omit it to return all repetitions.. It is categorised as a Read tool in the Flow Studio - Power Automate MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Flow Studio - Power Automate MCP Server MCP server in PolicyLayer and add a rule for get_live_flow_run_action_outputs: 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 Flow Studio - Power Automate MCP Server. Nothing to install.
get_live_flow_run_action_outputs 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_live_flow_run_action_outputs 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_live_flow_run_action_outputs. 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_live_flow_run_action_outputs is provided by the Flow Studio - Power Automate MCP Server MCP server (https://mcp.flowstudio.app/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 33 Flow Studio - Power Automate MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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