This record as markdown: /tools/a2p2a/register-agent.md
What register_agent does on A2p2a
AI agents use register_agent to create or update resources in A2p2a, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your A2p2a environment.
Why register_agent is rated Medium
Creates new agent registrations with connection details; enables arbitrary agent injection into a shared workspace system.
From the tool's definition register_agent: 把自己(或别的智能体)登记进来:给一个名字 + 一条连接方式
Attacks that exploit this kind of access
The rule that runs register_agent safely
PolicyLayer is an MCP gateway: it sits between your AI agents and A2p2a, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For register_agent, this is the rule to start with:
register_agent 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 A2p2a, apply this rule, and every register_agent call is checked against it from then on.
Questions about register_agent
把自己(或别的智能体)登记进来:给一个名字 + 一条连接方式(命令行模板或 MCP 地址)。. It is categorised as a Write tool in the A2p2a MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the A2p2a MCP server in PolicyLayer and add a rule for register_agent: 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 A2p2a. Nothing to install.
register_agent 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 register_agent 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 register_agent. 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.
register_agent is provided by the A2p2a MCP server (tendQQ/a2p2a). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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