add_canned_service_fee

Add a fee line item to an existing canned service template.

SERVERShopmonkey MCP Server SOURCEabbottdevelopments/shopmonkey-mcp-server

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/abbottdevelopments-shopmonkey-mcp-server/add-canned-service-fee.md

WHAT IT DOES

What add_canned_service_fee does on Shopmonkey MCP Server

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

RISK

Why add_canned_service_fee is rated Medium

This tool creates or adds a new fee entry to a canned service template. While it modifies data, the action is reversible (the fee can be removed or the template edited). It does not execute arbitrary code, delete data irreversibly, or move money directly. The 'add' verb and creation of a line item places it in the Write category.

From the tool's definition The tool name 'add_canned_service_fee' and description 'Add a fee line item to an existing canned service template' indicate creating/adding a new line item to a template, which modifies data reversibly.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs add_canned_service_fee safely

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

add_canned_service_fee Rate-limited

add_canned_service_fee 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": {
    "add_canned_service_fee": {
      "limits": [
        {
          "counter": "add_canned_service_fee_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 Shopmonkey MCP Server, apply this rule, and every add_canned_service_fee call is checked against it from then on.

FAQ

Questions about add_canned_service_fee

What does the add_canned_service_fee tool do? +

Add a fee line item to an existing canned service template. It is categorised as a Write tool in the Shopmonkey MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on add_canned_service_fee? +

Register the Shopmonkey MCP Server MCP server in PolicyLayer and add a rule for add_canned_service_fee: 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 Shopmonkey MCP Server. Nothing to install.

What risk level is add_canned_service_fee? +

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

Can I rate-limit add_canned_service_fee? +

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

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

add_canned_service_fee is provided by the Shopmonkey MCP Server MCP server (abbottdevelopments/shopmonkey-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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