get_user_workflow_tasks_tool
AI agents call get_user_workflow_tasks_tool to retrieve information from Reltio MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves user workflow task data without modifying or deleting it. The 'get' operation pattern and workflow context suggest a query/retrieval function. However, workflow tasks in MDM systems may contain sensitive business process information, customer data references, or operational details—hence medium severity rather than low.
From the tool's definition Tool name 'get_user_workflow_tasks_tool' indicates retrieval of workflow tasks associated with a user. The verb 'get' and context of querying task information align with read operations. Description is empty, reducing confidence slightly.
Attacks that exploit this kind of access
get_user_workflow_tasks_tool. It is categorised as a Read tool in the Reltio MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Reltio MCP Server MCP server in PolicyLayer and add a rule for get_user_workflow_tasks_tool: 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 Reltio MCP Server. Nothing to install.
get_user_workflow_tasks_tool 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_user_workflow_tasks_tool 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_user_workflow_tasks_tool. 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_user_workflow_tasks_tool is provided by the Reltio MCP Server MCP server (reltio-ai/reltio-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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