AI agents call getPeople 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.
This tool retrieves or queries data (people records) from the Teamwork system without creating, modifying, or deleting any data. It is a simple read operation with no side effects, fitting the Read category. Severity is low because exposure of a people list carries minimal risk compared to destructive or financial operations, though it could have privacy implications depending on access controls and data sensitivity.
From the tool's definition Tool name 'getPeople' and description 'Get all people from Teamwork' indicate a retrieval operation with no modification or side effects.
Documented attack patterns abuse exactly the kind of access getPeople gives an agent:
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 getPeople:
{
"version": "1",
"default": "deny",
"tools": {
"getPeople": {}
}
}getPeople is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get all people from Teamwork. It is categorised as a Read tool in the Teamwork MCP MCP Server, which means it retrieves data without modifying state.
Register the Teamwork MCP server in PolicyLayer and add a rule for getPeople: 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.
getPeople is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the getPeople 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.
Set action: deny in the PolicyLayer policy for getPeople. 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.
getPeople 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.
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.