get_ai_action_responses

THE RISK

Low Risk

Why get_ai_action_responses needs a policy

This tool retrieves historical AI-generated responses filtered by prompt, message, or conversation ID. It performs a query operation with no capacity to modify, delete, or execute operations. The retrieval of conversation metadata or AI responses poses minimal risk as it accesses already-generated data.

From the tool's definition Tool name 'get_ai_action_responses' and description 'Retrieve previously generated AI Action (Prompt) responses' explicitly indicate data retrieval without modification or side effects.

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

POLICY

How to control get_ai_action_responses

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

policy.json

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

get_ai_action_responses is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

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

CAP THIS TOOL →

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EXPLORE

Related tools and policies

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about get_ai_action_responses

What does the get_ai_action_responses tool do? +

Retrieve previously generated AI Action (Prompt) responses by filtering for a specific prompt, message, or conversation ID. It is categorised as a Read tool in the Carbon Voice MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_ai_action_responses? +

Register the Carbon Voice MCP server in PolicyLayer and add a rule for get_ai_action_responses: 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 Carbon Voice. Nothing to install.

What risk level is get_ai_action_responses? +

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

Can I rate-limit get_ai_action_responses? +

Yes. Add a rate_limit block to the get_ai_action_responses 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_ai_action_responses completely? +

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

get_ai_action_responses is provided by the Carbon Voice MCP server (phononx/cv-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Carbon Voice tool call.

Start from Carbon Voice, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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