Low Risk

clark_ai_coach

Learn about Clark, an AI memory coach that tracks learning progress, identifies weak spots, assigns targeted practice, and provides progress reports. Available for individual learners and for teachers/schools via Tutually.

Part of the Gridually server.

clark_ai_coach is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

SECURE GRIDUALLY →

Free to start. No card required.

AI agents call clark_ai_coach to retrieve information from Gridually without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though clark_ai_coach only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "clark_ai_coach": {}
  }
}

See the full Gridually policy for all 7 tools.

Get this rule live on your own Gridually server in minutes. PolicyLayer enforces it on every call, before it runs.

ENFORCE ON MY GRIDUALLY →

These attack patterns abuse exactly the kind of access clark_ai_coach gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so clark_ai_coach only ever does what you allow.

SECURE GRIDUALLY →

Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the clark_ai_coach tool do? +

Learn about Clark, an AI memory coach that tracks learning progress, identifies weak spots, assigns targeted practice, and provides progress reports. Available for individual learners and for teachers/schools via Tutually.. It is categorised as a Read tool in the Gridually MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on clark_ai_coach? +

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

What risk level is clark_ai_coach? +

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

Can I rate-limit clark_ai_coach? +

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

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

clark_ai_coach is provided by the Gridually MCP server (gridually-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Gridually tool call.

Deterministic rules across all 7 Gridually tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.