send_directive · AI Collaboration MCP Server MCP

WHAT IT DOES

What send_directive does on AI Collaboration MCP Server

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

WHY IT NEEDS A POLICY

Why send_directive needs a policy

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

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

send_directive Rate-limited

send_directive 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_directive": {
      "limits": [
        {
          "counter": "send_directive_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

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

FAQ

Questions about send_directive

What does the send_directive tool do? +

Send a task directive to the development team. Can create single or batch tasks with dependencies. It is categorised as a Write tool in the AI Collaboration 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_directive? +

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

What risk level is send_directive? +

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

Can I rate-limit send_directive? +

Yes. Add a rate_limit block to the send_directive 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_directive completely? +

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

send_directive is provided by the AI Collaboration MCP Server MCP server (wyn0001/ai-collab-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.