AI agents use zentao_stories to create or update resources in Zentao MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Zentao MCP Server environment.
The tool supports creating and closing requirements (stories), which are write operations that modify data. Closing a story is a state change that could potentially be reversed (re-opened), so it falls under Write rather than Destructive. The tool also includes read operations (query list, query details), but the most severe applicable category is Write due to the create/close capabilities.
From the tool's definition 支持：查询列表、查询详情、创建、关闭 (supports: query list, query details, create, close)
Documented attack patterns abuse exactly the kind of access zentao_stories 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_stories:
{
"version": "1",
"default": "deny",
"tools": {
"zentao_stories": {
"limits": [
{
"counter": "zentao_stories_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}zentao_stories 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.
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需求操作。支持：查询列表、查询详情、创建、关闭. It is categorised as a Write tool in the Zentao MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Zentao MCP Server MCP server in PolicyLayer and add a rule for zentao_stories: 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_stories is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the zentao_stories 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_stories. 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_stories 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.