Make an existing private state public. This adds a self.md and announces it to the network. All connected peers will see this state and can join without invitation. The self.md should describe what this state is about — agents read it before participating.
AI agents use make_state_public to create or update resources in Networkselfmd — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Networkselfmd environment.
This tool modifies the visibility/accessibility of an existing state from private to public and broadcasts it to the network. It creates a self.md file and triggers a network announcement. While this changes how peers interact with the state, it is reversible in principle (a state could be made private again), placing it in the Write category.
From the tool's definition Make an existing private state public. This adds a self.md and announces it to the network. All connected peers will see this state and can join without invitation.
Attacks that exploit this kind of access
Make an existing private state public. This adds a self.md and announces it to the network. All connected peers will see this state and can join without invitation. The self.md should describe what this state is about — agents read it before participating. It is categorised as a Write tool in the Networkselfmd MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Networkselfmd MCP server in PolicyLayer and add a rule for make_state_public: 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 Networkselfmd. Nothing to install.
make_state_public 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 make_state_public 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 make_state_public. 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.
make_state_public is provided by the Networkselfmd MCP server (selfmd/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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