Enable or disable real-time parameter update subscriptions.
AI agents use subscribe_to_parameter_updates to create or update resources in Sushi MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Sushi MCP Server environment.
An AI agent can call subscribe_to_parameter_updates faster than any human can review — one bad instruction and it creates or modifies resources in Sushi MCP Server by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
Enable or disable real-time parameter update subscriptions. It is categorised as a Write tool in the Sushi MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Sushi MCP Server MCP server in PolicyLayer and add a rule for subscribe_to_parameter_updates: 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 Sushi MCP Server. Nothing to install.
subscribe_to_parameter_updates is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the subscribe_to_parameter_updates 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 subscribe_to_parameter_updates. 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.
subscribe_to_parameter_updates is provided by the Sushi MCP Server MCP server (nagarjun226/sushi-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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