AI agents call zentao_projects to retrieve information from Zentao MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool only retrieves project information from Zentao (list queries and detail queries). It has no side effects, does not modify data, and presents minimal risk if misused by an AI agent—at worst, it could expose project metadata. The read-only nature and limited blast radius classify it as Read/low severity.
From the tool's definition Tool description states '查询列表、查询详情' (query list, query details) - explicit read-only operations with no modification, deletion, or execution capabilities.
Documented attack patterns abuse exactly the kind of access zentao_projects gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Zentao MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for zentao_projects:
{
"version": "1",
"default": "deny",
"tools": {
"zentao_projects": {}
}
}zentao_projects is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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项目操作。支持：查询列表、查询详情. It is categorised as a Read tool in the Zentao MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Zentao MCP Server MCP server in PolicyLayer and add a rule for zentao_projects: 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 Zentao MCP Server. Nothing to install.
zentao_projects 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 zentao_projects 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 zentao_projects. 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.
zentao_projects is provided by the Zentao MCP Server MCP server (tytt/zentao-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Zentao MCP Server, 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.
7 Zentao MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.