create_badge

SERVERMoodle SOURCE@falkenslab/moodle-mcp

Medium RISK CLASS

Category Write

Parameters 54 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/falkenslab-moodle-mcp/create-badge.md

WHAT IT DOES

What create_badge does on Moodle

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

Parameter	Type	Required	Description
`name`	string	Yes
`image`	string	Yes	An absolute local path to its image: PNG, JPEG or GIF, at most 256 KB
`courseId`	integer	Yes
`description`	string	Yes	Plain text: Moodle strips tags
`imageCaption`	string	—	The image's alternative text

Parameters from the server's own tool schema.

RISK

Why create_badge is rated Medium

An AI agent can call create_badge faster than any human can review: one bad instruction and it creates or modifies resources in Moodle by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs create_badge safely

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

create_badge Rate-limited

create_badge 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": {
    "create_badge": {
      "limits": [
        {
          "counter": "create_badge_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 Moodle, apply this rule, and every create_badge call is checked against it from then on.

FAQ

Questions about create_badge

What does the create_badge tool do? +

Create a course badge, disabled and without criteria, through Moodle's new badge form: its name, description (plain text) and image (a local PNG, JPEG or GIF, at most 256 KB). Then set_badge_criteria gives it criteria and set_badge_enabled makes it available. Returns the badge. Changes the course: confirm with the person first. It is categorised as a Write tool in the Moodle MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does create_badge accept? +

create_badge accepts 5 parameters: name, image, courseId, description, imageCaption. Required: name, image, courseId, description. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on create_badge? +

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

What risk level is create_badge? +

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

Can I rate-limit create_badge? +

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

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

create_badge is provided by the Moodle MCP server (@falkenslab/moodle-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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