add_conversation_participant

ServerMcp Ap2
CategoryWrite

How to control add_conversation_participant ↓

WHAT IT DOES

What add_conversation_participant does on Mcp Ap2

AI agents use add_conversation_participant to create or update resources in Mcp Ap2 — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp Ap2 environment.

THE RISK

Medium Risk

Why add_conversation_participant needs a policy

This is a Write operation because it creates or modifies data (adds a participant to a conversation) in a reversible manner. It does not delete, execute code, move money, or retrieve data.

From the tool's definition The tool performs 'Add a participant to a Conversation', which creates a new relationship/record within an existing conversation system. This is a creation/modification action that is reversible (participants can be removed).

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

POLICY

How to control add_conversation_participant

PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp Ap2, and nothing reaches the server without passing your rules. This is the rule we recommend for add_conversation_participant:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "add_conversation_participant": {
      "limits": [
        {
          "counter": "add_conversation_participant_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

add_conversation_participant stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

Create a free account and register Mcp Ap2 — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

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EXPLORE

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Argument validation → Checking tool call arguments against schema and policy before they run.
Scoped token → Per-person credentials that grant a defined subset of servers and tools.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about add_conversation_participant

What does the add_conversation_participant tool do? +

Add a participant to a Conversation. For SMS / WhatsApp, pass MessagingBinding.Address (+E164 or whatsapp:+E164) + MessagingBinding.ProxyAddress (your Twilio number). For chat participants, pass Identity. It is categorised as a Write tool in the Mcp Ap2 MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on add_conversation_participant? +

Register the Mcp Ap2 MCP server in PolicyLayer and add a rule for add_conversation_participant: 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 Mcp Ap2. Nothing to install.

What risk level is add_conversation_participant? +

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

Can I rate-limit add_conversation_participant? +

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

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

add_conversation_participant is provided by the Mcp Ap2 MCP server (@codespar/mcp-ap2). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Mcp Ap2 tool call.

Start from Mcp Ap2, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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