AI agents call get_feature_view_code to retrieve information from Tecton without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool retrieves existing feature view code without modifying or executing anything. It is analogous to sibling read-only tools on the same server (list_*, get_configuration tools). While the description is empty, the tool name and server context strongly indicate a read operation. Confidence is not higher due to the missing description, but the pattern is clear.
From the tool's definition Tool name 'get_feature_view_code' and server context indicate retrieval of feature view code/configuration.
Attacks that exploit this kind of access
get_feature_view_code. It is categorised as a Read tool in the Tecton MCP Server, which means it retrieves data without modifying state.
Register the Tecton MCP server in PolicyLayer and add a rule for get_feature_view_code: 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 Tecton. Nothing to install.
get_feature_view_code 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_feature_view_code 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_feature_view_code. 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_feature_view_code is provided by the Tecton MCP server (slavovthinks/tecton-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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