Update an existing ranking pipeline.
AI agents use update_pipeline 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 creates or modifies data reversibly by updating a pipeline configuration. While 'update' is typically a Write operation, the high severity is warranted because modifying a ranking pipeline could significantly impact recommendation quality, user experience, and business outcomes if misconfigured. The damage is reversible (can be reverted/re-updated), preventing classification as Destructive.
From the tool's definition Tool description states 'Update an existing ranking pipeline' - this modifies an existing resource in the recommendation engine system.
Attacks that exploit this kind of access
Update an existing ranking pipeline. 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 update_pipeline: 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.
update_pipeline 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 update_pipeline 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 update_pipeline. 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.
update_pipeline 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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