Get complex tensors based on minimum parent count, transformation steps, and limit.
AI agents call analytics_get_complex_tensors to retrieve information from Tensorus MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a query/retrieval operation that filters and returns tensor data. The verb 'Get' and the analytics context indicate data retrieval only. There is no indication of data creation, modification, deletion, code execution, or financial operations. The filtering parameters (minimum parent count, transformation steps, limit) are all read-only query constraints.
From the tool's definition Tool name contains 'analytics_get' and description states 'Get complex tensors' - retrieves data based on filtering criteria (parent count, transformation steps, limit) with no modification or side effects.
Attacks that exploit this kind of access
Get complex tensors based on minimum parent count, transformation steps, and limit. It is categorised as a Read tool in the Tensorus MCP MCP Server, which means it retrieves data without modifying state.
Register the Tensorus MCP server in PolicyLayer and add a rule for analytics_get_complex_tensors: 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 Tensorus MCP. Nothing to install.
analytics_get_complex_tensors 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 analytics_get_complex_tensors 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 analytics_get_complex_tensors. 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.
analytics_get_complex_tensors is provided by the Tensorus MCP server (tensorus/mcp). 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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