Apply a binary TensorOps operation (e.g., add, subtract).
AI agents invoke tensorus_apply_binary_operation to trigger actions in Tensorus MCP. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool executes a computational operation on tensors (binary TensorOps such as add or subtract). It triggers external computation on the tensor database, making it an Execute category.
From the tool's definition Apply a binary TensorOps operation (e.g., add, subtract)
Attacks that exploit this kind of access
Apply a binary TensorOps operation (e.g., add, subtract). It is categorised as a Execute tool in the Tensorus MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Tensorus MCP server in PolicyLayer and add a rule for tensorus_apply_binary_operation: 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.
tensorus_apply_binary_operation is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the tensorus_apply_binary_operation 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 tensorus_apply_binary_operation. 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.
tensorus_apply_binary_operation 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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