restore_service_package

Restore a previously deleted service package by ID.

SERVERFavCRM SOURCEhttps://api.favcrm.io/mcp

Medium RISK CLASS

Category Write

Parameters 11 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-favcrm-favcrm/restore-service-package.md

WHAT IT DOES

What restore_service_package does on FavCRM

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

Parameter	Type	Required	Description
`packageId`	string	Yes	Service package ID to restore

Parameters from the server's own tool schema.

RISK

Why restore_service_package is rated Medium

Restoration is a write operation that modifies system state by recovering deleted data. Unlike destructive operations (which irreversibly delete), restoration reverses prior deletions, making it Write rather than Destructive.

From the tool's definition restore_service_package restores a previously deleted service package—reversibly recreating data that was removed.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs restore_service_package safely

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

restore_service_package Rate-limited

restore_service_package 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": {
    "restore_service_package": {
      "limits": [
        {
          "counter": "restore_service_package_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 FavCRM, apply this rule, and every restore_service_package call is checked against it from then on.

FAQ

Questions about restore_service_package

What does the restore_service_package tool do? +

Restore a previously deleted service package by ID. It is categorised as a Write tool in the FavCRM MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does restore_service_package accept? +

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

How do I enforce a policy on restore_service_package? +

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

What risk level is restore_service_package? +

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

Can I rate-limit restore_service_package? +

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

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

restore_service_package is provided by the FavCRM MCP server (https://api.favcrm.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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