List tensor descriptors with extensive optional filters.
AI agents call list_tensor_descriptors 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 tool retrieves and queries tensor descriptor metadata using filters. It has no side effects—no data is created, modified, deleted, or executed. The blast radius of misuse is minimal; an agent could only over-retrieve metadata or exhaust query limits, which is a low-severity concern. The sibling tools (analytics_get_*, create_*, aggregate_*) confirm this is a read operation within a data catalog context.
From the tool's definition Tool name 'list_tensor_descriptors' and description 'List tensor descriptors with extensive optional filters' indicate retrieval of metadata without modification. The verb 'list' is a classic read operation that queries existing data.
Attacks that exploit this kind of access
List tensor descriptors with extensive optional filters. 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 list_tensor_descriptors: 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.
list_tensor_descriptors 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 list_tensor_descriptors 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 list_tensor_descriptors. 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.
list_tensor_descriptors 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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