agent_ensure
A write tool on the Adr Fpga Bootstrap MCP server.
This record as markdown: /tools/adr-fpga-bootstrap/agent-ensure.md
What agent_ensure does on Adr Fpga Bootstrap
AI agents use agent_ensure to create or update resources in Adr Fpga Bootstrap, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Adr Fpga Bootstrap environment.
Why agent_ensure is rated Medium
An AI agent can call agent_ensure faster than any human can review: one bad instruction and it creates or modifies resources in Adr Fpga Bootstrap by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs agent_ensure safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Adr Fpga Bootstrap, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For agent_ensure, this is the rule to start with:
agent_ensure 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 Adr Fpga Bootstrap, apply this rule, and every agent_ensure call is checked against it from then on.
Questions about agent_ensure
agent_ensure is a write tool on the Adr Fpga Bootstrap MCP server. It is categorised as a Write tool in the Adr Fpga Bootstrap MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Adr Fpga Bootstrap MCP server in PolicyLayer and add a rule for agent_ensure: 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 Adr Fpga Bootstrap. Nothing to install.
agent_ensure 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 agent_ensure 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 agent_ensure. 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.
agent_ensure is provided by the Adr Fpga Bootstrap MCP server (zxyyz/adr-fpga-bootstrap). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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