update_progress · Learning Coach MCP Server MCP

WHAT IT DOES

What update_progress does on Learning Coach MCP Server

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

WHY IT NEEDS A POLICY

Why update_progress needs a policy

This tool modifies stored learning progress records, making it a Write operation. It creates or updates reversible state (progress tracking data). Severity is medium because misuse could corrupt a user's learning records, but the blast radius is limited to personal learning data without direct financial or destructive consequences.

From the tool's definition Tool name 'update_progress' indicates modification of tracked learning progress data. Description is empty, limiting specificity, but context from server description shows the tool tracks learning progress as persistent state.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

update_progress Rate-limited

update_progress 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": {
    "update_progress": {
      "limits": [
        {
          "counter": "update_progress_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 Learning Coach MCP Server, so you can run agents against it safely.

FAQ

Questions about update_progress

What does the update_progress tool do? +

update_progress. It is categorised as a Write tool in the Learning Coach 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 update_progress? +

Register the Learning Coach MCP Server MCP server in PolicyLayer and add a rule for update_progress: 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 Learning Coach MCP Server. Nothing to install.

What risk level is update_progress? +

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

Can I rate-limit update_progress? +

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

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

update_progress is provided by the Learning Coach MCP Server MCP server (pevansh/learning_coach_mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.