apply_a_policy

[Resource and Policy Management API v4] Creates a policy application that applies a protection policy to the specified resource.

SERVERAcronis Platform SOURCE@acronis-platform/mcp

Medium RISK CLASS

Category Write

Parameters 10 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/acronis-platform-mcp/apply-a-policy.md

WHAT IT DOES

What apply_a_policy does on Acronis Platform

AI agents use apply_a_policy to create or update resources in Acronis Platform, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Acronis Platform environment.

Parameter	Type	Required	Description
`body`	object	—	Request body (JSON object)

Parameters from the server's own tool schema.

RISK

Why apply_a_policy is rated Medium

An AI agent can call apply_a_policy faster than any human can review: one bad instruction and it creates or modifies resources in Acronis Platform by the hundred, each call as confident as the last.

Risk signalsAccepts freeform code/query input (body.context._issues[].error.code) · Accepts raw HTML/template content (body) · High parameter count (21 properties)

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs apply_a_policy safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Acronis Platform, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For apply_a_policy, this is the rule to start with:

apply_a_policy Rate-limited

apply_a_policy 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "apply_a_policy": {
      "limits": [
        {
          "counter": "apply_a_policy_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Acronis Platform, apply this rule, and every apply_a_policy call is checked against it from then on.

FAQ

Questions about apply_a_policy

What does the apply_a_policy tool do? +

[Resource and Policy Management API v4] Creates a policy application that applies a protection policy to the specified resource. It is categorised as a Write tool in the Acronis Platform MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does apply_a_policy accept? +

apply_a_policy accepts 1 parameter: body. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on apply_a_policy? +

Register the Acronis Platform MCP server in PolicyLayer and add a rule for apply_a_policy: 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 Acronis Platform. Nothing to install.

What risk level is apply_a_policy? +

apply_a_policy is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit apply_a_policy? +

Yes. Add a rate_limit block to the apply_a_policy 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 apply_a_policy completely? +

Set action: deny in the PolicyLayer policy for apply_a_policy. 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 apply_a_policy? +

apply_a_policy is provided by the Acronis Platform MCP server (@acronis-platform/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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