1ly_review

Leave a review for a completed purchase on 1ly.store. Use the purchaseId and reviewToken from the _1ly metadata returned by 1ly_call.

SERVER1ly SOURCE@1ly/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/io-github-1lystore-mcp-server/1ly-review.md

WHAT IT DOES

What 1ly_review does on 1ly

AI agents use 1ly_review to create or update resources in 1ly, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your 1ly environment.

RISK

Why 1ly_review is rated Medium

This tool creates a review record (a write operation) tied to a purchase. It does not delete data, execute code, or move money. Reviews are typically reversible or at least not destructive. Medium severity because a misused agent could post fraudulent or harmful reviews on purchases.

From the tool's definition Leave a review for a completed purchase on 1ly.store

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs 1ly_review safely

PolicyLayer is an MCP gateway: it sits between your AI agents and 1ly, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For 1ly_review, this is the rule to start with:

1ly_review Rate-limited

1ly_review 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": {
    "1ly_review": {
      "limits": [
        {
          "counter": "1ly_review_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 1ly, apply this rule, and every 1ly_review call is checked against it from then on.

FAQ

Questions about 1ly_review

What does the 1ly_review tool do? +

Leave a review for a completed purchase on 1ly.store. Use the purchaseId and reviewToken from the _1ly metadata returned by 1ly_call. It is categorised as a Write tool in the 1ly MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on 1ly_review? +

Register the 1ly MCP server in PolicyLayer and add a rule for 1ly_review: 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 1ly. Nothing to install.

What risk level is 1ly_review? +

1ly_review is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit 1ly_review? +

Yes. Add a rate_limit block to the 1ly_review 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 1ly_review completely? +

Set action: deny in the PolicyLayer policy for 1ly_review. 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 1ly_review? +

1ly_review is provided by the 1ly MCP server (@1ly/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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Guides

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