AI agents call queryJob to retrieve information from YingDao RPA MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Despite the lack of a tool description, the naming convention strongly suggests this is a retrieval/query tool for job status or information within the RPA system. No parameters are exposed that would indicate execution, modification, or deletion capabilities. Query operations have read-only semantics with no side effects on job state or data.
From the tool's definition Tool name 'queryJob' indicates a query operation with no description provided; the 'query' prefix and sibling tools (queryApplist, queryClientList, queryRobotParam) consistently perform retrieval operations without modification.
Documented attack patterns abuse exactly the kind of access queryJob gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and YingDao RPA MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for queryJob:
{
"version": "1",
"default": "deny",
"tools": {
"queryJob": {}
}
}queryJob is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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queryJob. It is categorised as a Read tool in the YingDao RPA MCP Server MCP Server, which means it retrieves data without modifying state.
Register the YingDao RPA MCP Server MCP server in PolicyLayer and add a rule for queryJob: 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 YingDao RPA MCP Server. Nothing to install.
queryJob 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 queryJob 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 queryJob. 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.
queryJob is provided by the YingDao RPA MCP Server MCP server (ying-dao/yingdao_mcp_server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 7 YingDao RPA MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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7 YingDao RPA MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.