Connect two rooms in the spatial map (bidirectional link).
AI agents use link_rooms to create or update resources in Mnehmos Synch — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mnehmos Synch environment.
This tool creates a relationship/link between two existing rooms in a spatial map. It modifies data (adds a bidirectional connection) but does not delete anything and is likely reversible. The blast radius is low as it only affects navigation structure within the memory management system.
From the tool's definition Connect two rooms in the spatial map (bidirectional link)
Attacks that exploit this kind of access
Connect two rooms in the spatial map (bidirectional link). It is categorised as a Write tool in the Mnehmos Synch MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Mnehmos Synch MCP server in PolicyLayer and add a rule for link_rooms: 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 Mnehmos Synch. Nothing to install.
link_rooms 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 link_rooms 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 link_rooms. 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.
link_rooms is provided by the Mnehmos Synch MCP server (mnehmos/mnehmos.synch.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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