Medium Risk

add_tasks_to_request

Add new tasks to an existing request. This allows extending a request with additional tasks.\n\n

How to control add_tasks_to_request ↓

What add_tasks_to_request does on Mcp Taskmanager

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

Medium Risk

Why add_tasks_to_request needs a policy

This tool creates or modifies data (tasks) within an existing request structure in a reversible manner. It does not execute external operations (Execute), delete data (Destructive), move money (Financial), or retrieve data without side effects (Read).

From the tool's definition Tool name 'add_tasks_to_request' and description 'Add new tasks to an existing request. This allows extending a request with additional tasks' indicate creation/modification of data within a queue-based task management system.

Documented attack patterns abuse exactly the kind of access add_tasks_to_request gives an agent:

How to control add_tasks_to_request

PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp Taskmanager, and nothing reaches the server without passing your rules. This is the rule we recommend for add_tasks_to_request:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "add_tasks_to_request": {
      "limits": [
        {
          "counter": "add_tasks_to_request_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

add_tasks_to_request 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.

  1. Create a free account and register Mcp Taskmanager — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
LIMIT THIS TOOL →

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Related tools and policies

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Questions about add_tasks_to_request

What does the add_tasks_to_request tool do? +

Add new tasks to an existing request. This allows extending a request with additional tasks.\n\n. It is categorised as a Write tool in the Mcp Taskmanager MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on add_tasks_to_request? +

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

What risk level is add_tasks_to_request? +

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

Can I rate-limit add_tasks_to_request? +

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

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

add_tasks_to_request is provided by the Mcp Taskmanager MCP server (kazuph/mcp-taskmanager). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Mcp Taskmanager tool call.

Start from Mcp Taskmanager, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

10 Mcp Taskmanager tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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