AI agents call get_bug_detail to retrieve information from Zentao without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves information about a bug without altering state. It is a straightforward query operation that fetches and returns existing data. The low severity reflects minimal risk from misuse—an AI agent retrieving bug details poses no blast radius beyond potential information disclosure of what is already stored in the ZenTao system.
From the tool's definition Tool name 'get_bug_detail' and description 'Get bug detail by ID' indicate data retrieval with no modification or side effects.
Attacks that exploit this kind of access
Get bug detail by ID. It is categorised as a Read tool in the Zentao MCP Server, which means it retrieves data without modifying state.
Register the Zentao MCP server in PolicyLayer and add a rule for get_bug_detail: 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. Nothing to install.
get_bug_detail 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 get_bug_detail 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 get_bug_detail. 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.
get_bug_detail is provided by the Zentao MCP server (@aipper/zentao-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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