get_learning_progress

Academia EasyBits (/aprende): progreso del usuario en cada curso. Las lecciones con

SERVEREasyBits SOURCE@easybits.cloud/mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade D, identity unverified Pull the record →

This record as markdown: /tools/cloud-easybits-easybits/get-learning-progress.md

WHAT IT DOES

What get_learning_progress does on EasyBits

AI agents call get_learning_progress to retrieve information from EasyBits without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why get_learning_progress is rated Low

Tool retrieves user learning progress data with no side effects or modifications.

From the tool's definition progreso del usuario en cada curso. Las lecciones

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs get_learning_progress safely

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

get_learning_progress Allowed

get_learning_progress is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_learning_progress": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect EasyBits, apply this rule, and every get_learning_progress call is checked against it from then on.

FAQ

Questions about get_learning_progress

What does the get_learning_progress tool do? +

Academia EasyBits (/aprende): progreso del usuario en cada curso. Las lecciones con. It is categorised as a Read tool in the EasyBits MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_learning_progress? +

Register the EasyBits MCP server in PolicyLayer and add a rule for get_learning_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 EasyBits. Nothing to install.

What risk level is get_learning_progress? +

get_learning_progress is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_learning_progress? +

Yes. Add a rate_limit block to the get_learning_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 get_learning_progress completely? +

Set action: deny in the PolicyLayer policy for get_learning_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 get_learning_progress? +

get_learning_progress is provided by the EasyBits MCP server (@easybits.cloud/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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