calculate_workshop_grades
Calculate a workshop's grades in the evaluation phase, as "Re-calculate grades" does: each submission's grade from its assessments, each assessment's grade for assessing by the workshop's evaluation method, comparison its strictness. Overridden grades stay. Returns the submissions and assessments...
This record as markdown: /tools/falkenslab-moodle-mcp/calculate-workshop-grades.md
What calculate_workshop_grades does on Moodle
AI agents use calculate_workshop_grades 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 |
|---|---|---|---|
comparison | string | — | How strictly assessments are compared with the best one; the form keeps the last one used |
workshopId | integer | Yes | The workshop's id (course module id) |
Parameters from the server's own tool schema.
Why calculate_workshop_grades is rated Medium
An AI agent can call calculate_workshop_grades 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
The rule that runs calculate_workshop_grades 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 calculate_workshop_grades, this is the rule to start with:
calculate_workshop_grades 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Moodle, apply this rule, and every calculate_workshop_grades call is checked against it from then on.
Questions about calculate_workshop_grades
Calculate a workshop's grades in the evaluation phase, as "Re-calculate grades" does: each submission's grade from its assessments, each assessment's grade for assessing by the workshop's evaluation method, comparison its strictness. Overridden grades stay. Returns the submissions and assessments with their grades (people as aliases when the server pseudonymizes). Students will see the grades once the workshop is closed: 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.
calculate_workshop_grades accepts 2 parameters: comparison, workshopId. Required: workshopId. The full parameter table on this page comes from the server's own tool schema.
Register the Moodle MCP server in PolicyLayer and add a rule for calculate_workshop_grades: 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.
calculate_workshop_grades is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the calculate_workshop_grades 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.
Set action: deny in the PolicyLayer policy for calculate_workshop_grades. 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.
calculate_workshop_grades 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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