fleet_agent_messages
Historial de UNA conversación de un FleetAgent, con cursor.
This record as markdown: /tools/cloud-easybits-easybits/fleet-agent-messages.md
What fleet_agent_messages does on EasyBits
AI agents use fleet_agent_messages to create or update resources in EasyBits, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your EasyBits environment.
Why fleet_agent_messages is rated Medium
An AI agent can call fleet_agent_messages faster than any human can review: one bad instruction and it creates or modifies resources in EasyBits by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs fleet_agent_messages safely
PolicyLayer is an MCP gateway: it sits between your AI agents and EasyBits, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For fleet_agent_messages, this is the rule to start with:
fleet_agent_messages stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect EasyBits, apply this rule, and every fleet_agent_messages call is checked against it from then on.
Questions about fleet_agent_messages
Historial de UNA conversación de un FleetAgent, con cursor. It is categorised as a Write tool in the EasyBits MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the EasyBits MCP server in PolicyLayer and add a rule for fleet_agent_messages: 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 EasyBits. Nothing to install.
fleet_agent_messages 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 fleet_agent_messages 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 fleet_agent_messages. 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.
fleet_agent_messages is provided by the EasyBits MCP server (@easybits.cloud/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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