schedule_training · PetSmart MCP Server MCP: Risk & Policy

WHAT IT DOES

What schedule_training does on PetSmart MCP Server

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

WHY IT NEEDS A POLICY

Why schedule_training needs a policy

Booking a training class creates a new record and commits a future service obligation, but it is reversible (can be cancelled) and does not involve financial charges or irreversible destruction. It is more significant than a simple Read operation but less severe than financial transactions or destructive operations.

From the tool's definition Tool description states 'Book a dog training class' which creates a new reservation/appointment in PetSmart's system. This is a reversible create operation that modifies the user's account and reserves a service slot.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

schedule_training Rate-limited

schedule_training 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": {
    "schedule_training": {
      "limits": [
        {
          "counter": "schedule_training_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 PetSmart MCP Server, so you can run agents against it safely.

FAQ

Questions about schedule_training

What does the schedule_training tool do? +

Book a dog training class at PetSmart. Classes include puppy training, beginner obedience, advanced training, and specialty workshops. It is categorised as a Write tool in the PetSmart 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 schedule_training? +

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

What risk level is schedule_training? +

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

Can I rate-limit schedule_training? +

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

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

schedule_training is provided by the PetSmart MCP Server MCP server (markswendsen-code/mcp-petsmart). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.