Low Risk

report_saved_retrieve

Free read-only past report retrieval status utility for agents asking about previously generated reports. AurelianFlo returns report artifacts inline as artifact.contentBase64 and does not persist hosted report files server-side.

Part of the AurelianFlo server.

report_saved_retrieve is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call report_saved_retrieve to retrieve information from AurelianFlo 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 report_saved_retrieve 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.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "report_saved_retrieve": {}
  }
}

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These attack patterns abuse exactly the kind of access report_saved_retrieve gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so report_saved_retrieve only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the report_saved_retrieve tool do? +

Free read-only past report retrieval status utility for agents asking about previously generated reports. AurelianFlo returns report artifacts inline as artifact.contentBase64 and does not persist hosted report files server-side.. It is categorised as a Read tool in the AurelianFlo MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on report_saved_retrieve? +

Register the AurelianFlo MCP server in PolicyLayer and add a rule for report_saved_retrieve: 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 AurelianFlo. Nothing to install.

What risk level is report_saved_retrieve? +

report_saved_retrieve is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit report_saved_retrieve? +

Yes. Add a rate_limit block to the report_saved_retrieve 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.

How do I block report_saved_retrieve completely? +

Set action: deny in the PolicyLayer policy for report_saved_retrieve. 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.

What MCP server provides report_saved_retrieve? +

report_saved_retrieve is provided by the AurelianFlo MCP server (https://api.aurelianflo.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every AurelianFlo tool call.

Deterministic rules across all 11 AurelianFlo tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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