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