Enable or disable a ranking rule without deleting it.
AI agents use toggle_rule to create or update resources in NeuronSearchLab — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your NeuronSearchLab environment.
The tool modifies the state of a ranking rule (enabling or disabling it) which is a reversible write operation. It explicitly states the rule is not deleted, ruling out Destructive. Misuse could affect recommendation quality/ordering for all users, giving it medium severity.
From the tool's definition Enable or disable a ranking rule without deleting it
Attacks that exploit this kind of access
Enable or disable a ranking rule without deleting it. It is categorised as a Write tool in the NeuronSearchLab MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the NeuronSearchLab MCP server in PolicyLayer and add a rule for toggle_rule: 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 NeuronSearchLab. Nothing to install.
toggle_rule 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 toggle_rule 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 toggle_rule. 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.
toggle_rule is provided by the NeuronSearchLab MCP server (neuronsearchlab/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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