Low Risk

getProjectPerson

Returns one or more people on a project. Retrieve a person(s) record.

How to control getProjectPerson ↓

What getProjectPerson does on Teamwork MCP

AI agents call getProjectPerson 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 getProjectPerson needs a policy

This tool retrieves existing data about people associated with a project without modifying, deleting, or executing any operations. It is a straightforward data retrieval function that falls clearly under the 'Read' category. Severity is low because retrieving project member information poses minimal risk even if accessed by an unauthorized AI agent.

From the tool's definition Tool description states 'Returns one or more people on a project. Retrieve a person(s) record.' The verb 'Returns' and 'Retrieve' indicate a read-only query operation with no side effects.

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

How to control getProjectPerson

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 getProjectPerson:

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

getProjectPerson 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

Go deeper

Questions about getProjectPerson

What does the getProjectPerson tool do? +

Returns one or more people on a project. Retrieve a person(s) record. 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 getProjectPerson? +

Register the Teamwork MCP server in PolicyLayer and add a rule for getProjectPerson: 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 getProjectPerson? +

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

Can I rate-limit getProjectPerson? +

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

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

getProjectPerson 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.

Free to start. No card required.

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

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