AI agents use save_governor_spec to create or update resources in Swarm — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Swarm environment.
An AI agent can call save_governor_spec faster than any human can review — one bad instruction and it creates or modifies resources in Swarm by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
save_governor_spec. It is categorised as a Write tool in the Swarm MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Swarm MCP server in PolicyLayer and add a rule for save_governor_spec: 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 Swarm. Nothing to install.
save_governor_spec 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 save_governor_spec 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 save_governor_spec. 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.
save_governor_spec is provided by the Swarm MCP server (stiege/swarm-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.