modify_training_session · Pelaris MCP: Risk & Policy

WHAT IT DOES

What modify_training_session does on Pelaris

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

WHY IT NEEDS A POLICY

Why modify_training_session needs a policy

This tool modifies training session data (volume, intensity, exercises, dates) but does not delete or irreversibly destroy data. The modifications are reversible through subsequent edits, making it a Write operation rather than Destructive.

From the tool's definition Tool description states 'Adjust a planned session — reduce volume, change intensity, swap exercises, or reschedule to a different date.' These are reversible modifications: reducing volume, changing intensity, and swapping exercises can all be undone by…

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

modify_training_session Rate-limited

modify_training_session 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": {
    "modify_training_session": {
      "limits": [
        {
          "counter": "modify_training_session_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 Pelaris, so you can run agents against it safely.

FAQ

Questions about modify_training_session

What does the modify_training_session tool do? +

Adjust a planned session — reduce volume, change intensity, swap exercises, or reschedule to a different date. It is categorised as a Write tool in the Pelaris MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on modify_training_session? +

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

What risk level is modify_training_session? +

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

Can I rate-limit modify_training_session? +

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

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

modify_training_session is provided by the Pelaris MCP server (thedonk/pelaris-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.