progress_demo

THE RISK

Low Risk

Why progress_demo needs a policy

With no description available, classification relies solely on the name. 'progress_demo' suggests a demo/showcase of progress reporting, which would be read-only or purely presentational. However, confidence is low due to the absence of any description.

From the tool's definition Tool description is empty and uninformative; tool name 'progress_demo' suggests a demonstration of progress tracking functionality rather than a data-modifying operation.

Documented attack patterns abuse exactly the kind of access progress_demo gives an agent:

POLICY

How to control progress_demo

PolicyLayer is an MCP gateway — it sits between your AI agents and Gemini Research MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for progress_demo:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "progress_demo": {
      "limits": [
        {
          "counter": "progress_demo_rate",
          "window": "minute",
          "max": 60,
          "scope": "grant"
        }
      ]
    }
  }
}

progress_demo gets a rate cap, and everything else on the server is denied unless you say otherwise.

Create a free account and register Gemini Research MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

SET A RULE FOR THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

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All 11 Gemini Research MCP Server tools →

Other tools on other servers

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Tool risk categories → How PolicyLayer classifies MCP tools by what they can do.
MCP tool → What an MCP tool is and how clients discover and call it.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about progress_demo

What does the progress_demo tool do? +

progress_demo. It is categorised as a Other tool in the Gemini Research MCP Server MCP Server, which means it performs auxiliary operations.

How do I enforce a policy on progress_demo? +

Register the Gemini Research MCP Server MCP server in PolicyLayer and add a rule for progress_demo: 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 Gemini Research MCP Server. Nothing to install.

What risk level is progress_demo? +

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

Can I rate-limit progress_demo? +

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

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

progress_demo is provided by the Gemini Research MCP Server MCP server (machinemates-ai/gemini-research-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Gemini Research MCP Server tool call.

Start from Gemini Research MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →