swarm_chat_with_model · Mcp Swarm MCP: Risk & Policy

WHAT IT DOES

What swarm_chat_with_model does on Mcp Swarm

AI agents invoke swarm_chat_with_model to trigger actions in Mcp Swarm. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why swarm_chat_with_model needs a policy

This tool executes API calls to external AI models. It triggers external operations whose effects depend on the arguments passed (model selection, prompt content). The description is minimal but indicates direct model invocation, which is an Execute-category action.

From the tool's definition '使用指定模型调用 API' (Call API using a specified model) — triggers external API calls to LLM models

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

swarm_chat_with_model Rate-limited

swarm_chat_with_model stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "swarm_chat_with_model": {
      "limits": [
        {
          "counter": "swarm_chat_with_model_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Mcp Swarm, so you can run agents against it safely.

FAQ

Questions about swarm_chat_with_model

What does the swarm_chat_with_model tool do? +

使用指定模型调用 API。可选模型：. It is categorised as a Execute tool in the Mcp Swarm MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on swarm_chat_with_model? +

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

What risk level is swarm_chat_with_model? +

swarm_chat_with_model is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit swarm_chat_with_model? +

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

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

swarm_chat_with_model is provided by the Mcp Swarm MCP server (moselu/mcp-swarm). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.