Low Risk

getTaskSubtasks

Get all subtasks for a specific task in Teamwork

How to control getTaskSubtasks ↓

What getTaskSubtasks does on Teamwork MCP

AI agents call getTaskSubtasks to retrieve information from Teamwork MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why getTaskSubtasks needs a policy

This tool retrieves subtask data for a given task. It performs a read-only query against the Teamwork API with no ability to create, modify, or delete data. The blast radius of misuse is minimal—an AI agent could over-query or access subtasks it shouldn't, but cannot alter project state.

From the tool's definition Tool name 'getTaskSubtasks' and description 'Get all subtasks for a specific task in Teamwork' indicate a query/retrieval operation with no modification or side effects.

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

How to control getTaskSubtasks

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "getTaskSubtasks": {}
  }
}

getTaskSubtasks is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Teamwork MCP — 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.
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Related tools and policies

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Questions about getTaskSubtasks

What does the getTaskSubtasks tool do? +

Get all subtasks for a specific task in Teamwork. It is categorised as a Read tool in the Teamwork MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on getTaskSubtasks? +

Register the Teamwork MCP server in PolicyLayer and add a rule for getTaskSubtasks: 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 Teamwork MCP. Nothing to install.

What risk level is getTaskSubtasks? +

getTaskSubtasks is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit getTaskSubtasks? +

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

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

getTaskSubtasks is provided by the Teamwork MCP server (vizioz/teamwork-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Teamwork MCP tool call.

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

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36 Teamwork MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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