Remove related item from a message
AI agents use remove_related_item to create or update resources in Follow Plan MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Follow Plan MCP Server environment.
Removing a related item association from a message modifies the relational data (unlinking items), but does not permanently delete the underlying items themselves. This is a reversible write operation.
From the tool's definition 'Remove related item from a message' — removes a relationship/link between items, which is a reversible modification of message metadata
Attacks that exploit this kind of access
Remove related item from a message. It is categorised as a Write tool in the Follow Plan MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Follow Plan MCP Server MCP server in PolicyLayer and add a rule for remove_related_item: 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 Follow Plan MCP Server. Nothing to install.
remove_related_item 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 remove_related_item 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 remove_related_item. 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.
remove_related_item is provided by the Follow Plan MCP Server MCP server (vibeclasses/follow-plan-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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