set_rating

Set the star rating (0-100) for a track. Use multiples of 20 for full stars (0, 20, 40, 60, 80, 100).

SERVERIconnect SOURCEiconnect-mcp

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/io-github-heznpc-iconnect/set-rating.md

WHAT IT DOES

What set_rating does on Iconnect

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

RISK

Why set_rating is rated Medium

This tool modifies user data (track ratings) in a music library, which qualifies as a Write operation. The severity is low because: (1) the change is easily reversible by setting a different rating, (2) the blast radius is limited to metadata on a single track, (3) no financial transactions, destructive deletions, or code execution are involved, and (4) misuse would at worst create minor annoyance by changing…

From the tool's definition The tool description states it 'Set[s] the star rating (0-100) for a track,' which modifies metadata associated with a music track. This is a reversible data modification operation.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs set_rating safely

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

set_rating Rate-limited

set_rating 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": {
    "set_rating": {
      "limits": [
        {
          "counter": "set_rating_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 Iconnect, apply this rule, and every set_rating call is checked against it from then on.

FAQ

Questions about set_rating

What does the set_rating tool do? +

Set the star rating (0-100) for a track. Use multiples of 20 for full stars (0, 20, 40, 60, 80, 100). It is categorised as a Write tool in the Iconnect MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on set_rating? +

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

What risk level is set_rating? +

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

Can I rate-limit set_rating? +

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

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

set_rating is provided by the Iconnect MCP server (iconnect-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

More on Iconnect, and thousands of servers like it.

This server

All 279 Iconnect tools →

Across the catalogue

set-prioity on Kanban MCP Server →team_manager_set_sources on Team Manager MCP →qt_set_property on Qt → The MCP Attack Database →

Guides

Govern customer-ops agents →Argument validation →Scoped token →