send_agent_message

SERVERNodebench SOURCEnodebench-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/io-github-homenshum-nodebench/send-agent-message.md

WHAT IT DOES

What send_agent_message does on Nodebench

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

RISK

Why send_agent_message is rated Medium

This tool creates new message records in a database (SQLite) that persist over time. While the operation is reversible (messages could theoretically be deleted), the primary action is data creation/modification characteristic of Write category. It does not execute arbitrary code, delete data irreversibly, or move money.

From the tool's definition The tool description explicitly states it 'Send a message to another agent' and 'Messages persist in SQLite', indicating it creates/modifies data in persistent storage.

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 Nodebench, 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 Nodebench, 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 message to another agent by session ID or role. Enables asynchronous inter-agent communication for task handoffs, status reports, blockers, and findings. Messages persist in SQLite so agents spawned later can read them. It is categorised as a Write tool in the Nodebench 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 Nodebench 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 Nodebench. 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 Nodebench MCP server (nodebench-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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