Low Risk

describe_demo

Full per-demo write-up: history, what it teaches, what to expect from the run_* output. Use this to ground the user before triggering a sim run, or to explain WHY the demo exists when the user asks a conceptual question about it.

Part of the DiscreteRate server.

describe_demo 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.

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AI agents call describe_demo to retrieve information from DiscreteRate 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 describe_demo 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": {
    "describe_demo": {}
  }
}

See the full DiscreteRate policy for all 13 tools.

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

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View all 13 tools →

These attack patterns abuse exactly the kind of access describe_demo 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 describe_demo only ever does what you allow.

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

What does the describe_demo tool do? +

Full per-demo write-up: history, what it teaches, what to expect from the run_* output. Use this to ground the user before triggering a sim run, or to explain WHY the demo exists when the user asks a conceptual question about it.. It is categorised as a Read tool in the DiscreteRate MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on describe_demo? +

Register the DiscreteRate MCP server in PolicyLayer and add a rule for describe_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 DiscreteRate. Nothing to install.

What risk level is describe_demo? +

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

Can I rate-limit describe_demo? +

Yes. Add a rate_limit block to the describe_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 describe_demo completely? +

Set action: deny in the PolicyLayer policy for describe_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 describe_demo? +

describe_demo is provided by the DiscreteRate MCP server (https://discreterate.com/mcp/v1). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every DiscreteRate tool call.

Deterministic rules across all 13 DiscreteRate 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.

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