edit_scale

Change a course's scale: its name, values or description. A scale something grades with keeps its values. Returns it. Confirm with the person first.

SERVERMoodle SOURCE@falkenslab/moodle-mcp

Medium RISK CLASS

Category Write

Parameters 52 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/falkenslab-moodle-mcp/edit-scale.md

WHAT IT DOES

What edit_scale does on Moodle

AI agents use edit_scale 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	—
`items`	array	—
`scaleId`	integer	Yes	As list_scales gives it
`courseId`	integer	Yes
`description`	string	—

Parameters from the server's own tool schema.

RISK

Why edit_scale is rated Medium

An AI agent can call edit_scale 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 edit_scale 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 edit_scale, this is the rule to start with:

edit_scale Rate-limited

edit_scale 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": {
    "edit_scale": {
      "limits": [
        {
          "counter": "edit_scale_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 edit_scale call is checked against it from then on.

FAQ

Questions about edit_scale

What does the edit_scale tool do? +

Change a course's scale: its name, values or description. A scale something grades with keeps its values. Returns it. 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 edit_scale accept? +

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

How do I enforce a policy on edit_scale? +

Register the Moodle MCP server in PolicyLayer and add a rule for edit_scale: 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 edit_scale? +

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

Can I rate-limit edit_scale? +

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

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

edit_scale 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.

KEEP EXPLORING

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edit_screen on Stitch MCP Server → The MCP Attack Database →

Guides

Govern customer-ops agents →Argument validation →Scoped token →