put_task_output · Dag Planner MCP: Risk & Policy

WHAT IT DOES

What put_task_output does on Dag Planner

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

WHY IT NEEDS A POLICY

Why put_task_output needs a policy

This tool creates or updates task output data, which is reversible (outputs can be overwritten or deleted by other operations). It does not execute arbitrary code, delete data irreversibly, move money, or require special financial handling.

From the tool's definition Tool description states 'Store working or final output for a task' - indicates data modification/creation. Tool name 'put_' prefix conventionally signals write operations.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

put_task_output Rate-limited

put_task_output 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": {
    "put_task_output": {
      "limits": [
        {
          "counter": "put_task_output_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 Dag Planner, so you can run agents against it safely.

FAQ

Questions about put_task_output

What does the put_task_output tool do? +

Store working or final output for a task. It is categorised as a Write tool in the Dag Planner MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on put_task_output? +

Register the Dag Planner MCP server in PolicyLayer and add a rule for put_task_output: 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 Dag Planner. Nothing to install.

What risk level is put_task_output? +

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

Can I rate-limit put_task_output? +

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

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

put_task_output is provided by the Dag Planner MCP server (shubhamnegi/dag-planner-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.