Medium Risk

explain_three_primitives

Return a focused write-up of the three DRS modeling primitives: Constraint (rate-limiter), Buffer (accumulated state), Interrupt (stoppage). Use this when the user asks specifically about modeling primitives or how to spell a system in DRS. Deterministic text.

Part of the DiscreteRate server.

explain_three_primitives can modify DiscreteRate data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use explain_three_primitives to create or modify resources in DiscreteRate. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call explain_three_primitives repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach DiscreteRate.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "explain_three_primitives": {
      "limits": [
        {
          "counter": "explain_three_primitives_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full DiscreteRate policy for all 13 tools.

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

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the explain_three_primitives tool do? +

Return a focused write-up of the three DRS modeling primitives: Constraint (rate-limiter), Buffer (accumulated state), Interrupt (stoppage). Use this when the user asks specifically about modeling primitives or how to spell a system in DRS. Deterministic text.. It is categorised as a Write tool in the DiscreteRate MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on explain_three_primitives? +

Register the DiscreteRate MCP server in PolicyLayer and add a rule for explain_three_primitives: 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 explain_three_primitives? +

explain_three_primitives is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit explain_three_primitives? +

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

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

explain_three_primitives 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.

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