fleet_agent_configure
Aplica UNA mutación de configuración a un FleetAgent — el mismo contrato que POST /api/v2/fleet-agents/:id/capabilities.
This record as markdown: /tools/cloud-easybits-easybits/fleet-agent-configure.md
What fleet_agent_configure does on EasyBits
AI agents use fleet_agent_configure 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_configure is rated Medium
Modifies agent configuration reversibly via API mutation contract, affecting agent behavior and capabilities.
From the tool's definition applies configuration mutation to FleetAgent; POST API contract
Attacks that exploit this kind of access
The rule that runs fleet_agent_configure 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_configure, this is the rule to start with:
fleet_agent_configure 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_configure call is checked against it from then on.
Questions about fleet_agent_configure
Aplica UNA mutación de configuración a un FleetAgent — el mismo contrato que POST /api/v2/fleet-agents/:id/capabilities. 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_configure: 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_configure 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_configure 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_configure. 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_configure 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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