add_tracking_query · MCP Starter for Puch AI MCP

WHAT IT DOES

What add_tracking_query does on MCP Starter for Puch AI

AI agents use add_tracking_query to create or update resources in MCP Starter for Puch AI — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your MCP Starter for Puch AI environment.

WHY IT NEEDS A POLICY

Why add_tracking_query needs a policy

This tool creates or modifies stored queries for monitoring purposes. It's a Write operation because it irreversibly adds/updates data (tracked queries) that will persist and affect future monitoring behavior.

From the tool's definition Tool name 'add_tracking_query' and description 'Add or update a tracked query' indicate data modification—creating or updating records in a tracking system.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

add_tracking_query Rate-limited

add_tracking_query 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_tracking_query": {
      "limits": [
        {
          "counter": "add_tracking_query_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches MCP Starter for Puch AI, so you can run agents against it safely.

FAQ

Questions about add_tracking_query

What does the add_tracking_query tool do? +

Add or update a tracked query for LLM visibility monitoring. It is categorised as a Write tool in the MCP Starter for Puch AI 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_tracking_query? +

Register the MCP Starter for Puch AI MCP server in PolicyLayer and add a rule for add_tracking_query: 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 MCP Starter for Puch AI. Nothing to install.

What risk level is add_tracking_query? +

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

Can I rate-limit add_tracking_query? +

Yes. Add a rate_limit block to the add_tracking_query 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_tracking_query completely? +

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

add_tracking_query is provided by the MCP Starter for Puch AI MCP server (kulraj69/mcp-llm). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.