resume_tracked_product

استئناف فحص منتج متوقف. يجب أخذ موافقة المستخدم قبل الاستدعاء.

SERVERDeal Watcher Ai Agent SOURCEs2leh/deal-watcher-ai-agent

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade B, identity unverified Pull the record →

This record as markdown: /tools/deal-watcher-ai-agent/resume-tracked-product.md

WHAT IT DOES

What resume_tracked_product does on Deal Watcher Ai Agent

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

RISK

Why resume_tracked_product is rated Medium

This tool changes the tracking state of a product from paused to active, which is a reversible modification operation. It does not delete data (would be Destructive), execute arbitrary code (would be Execute), or involve financial transactions (would be Financial). The requirement for user consent before invocation mitigates severity to medium rather than high.

From the tool's definition Tool resumes tracking of a paused product, which modifies the state of a tracked item in the database. Description states 'استئناف فحص منتج متوقف' (resume checking a paused product), indicating state modification rather than deletion or financial impact.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs resume_tracked_product safely

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

resume_tracked_product Rate-limited

resume_tracked_product 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": {
    "resume_tracked_product": {
      "limits": [
        {
          "counter": "resume_tracked_product_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 Deal Watcher Ai Agent, apply this rule, and every resume_tracked_product call is checked against it from then on.

FAQ

Questions about resume_tracked_product

What does the resume_tracked_product tool do? +

استئناف فحص منتج متوقف. يجب أخذ موافقة المستخدم قبل الاستدعاء. It is categorised as a Write tool in the Deal Watcher Ai Agent MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on resume_tracked_product? +

Register the Deal Watcher Ai Agent MCP server in PolicyLayer and add a rule for resume_tracked_product: 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 Deal Watcher Ai Agent. Nothing to install.

What risk level is resume_tracked_product? +

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

Can I rate-limit resume_tracked_product? +

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

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

resume_tracked_product is provided by the Deal Watcher Ai Agent MCP server (s2leh/deal-watcher-ai-agent). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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