send_agent_message

Send a direct message from one Agent to another. Delivered via SSE (real-time) and Notification (persistent). Optionally attached to a task.

SERVERTodo for AI MCP Server SOURCEtodo-for-ai/todo-for-ai-mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/todo-for-ai-todo-for-ai-mcp/send-agent-message.md

WHAT IT DOES

What send_agent_message does on Todo for AI MCP Server

AI agents use send_agent_message to create or update resources in Todo for AI MCP Server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Todo for AI MCP Server environment.

RISK

Why send_agent_message is rated Medium

An AI agent can call send_agent_message faster than any human can review: one bad instruction and it creates or modifies resources in Todo for AI MCP Server by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs send_agent_message safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Todo for AI MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For send_agent_message, this is the rule to start with:

send_agent_message Rate-limited

send_agent_message 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.

View as policy code

policy.json

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

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Todo for AI MCP Server, apply this rule, and every send_agent_message call is checked against it from then on.

FAQ

Questions about send_agent_message

What does the send_agent_message tool do? +

Send a direct message from one Agent to another. Delivered via SSE (real-time) and Notification (persistent). Optionally attached to a task. It is categorised as a Write tool in the Todo for AI MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on send_agent_message? +

Register the Todo for AI MCP Server MCP server in PolicyLayer and add a rule for send_agent_message: 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 Todo for AI MCP Server. Nothing to install.

What risk level is send_agent_message? +

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

Can I rate-limit send_agent_message? +

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

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

send_agent_message is provided by the Todo for AI MCP Server MCP server (todo-for-ai/todo-for-ai-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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