Unblock a previously blocked agent, restoring it to active status.
AI agents use unblock_agent to create or update resources in Agent 365 — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Agent 365 environment.
This tool reverses a block on an agent, which is a state modification (write) that restores access/activity. It is reversible (the agent can be blocked again), so it does not qualify as Destructive. The action modifies agent status in the system, making Write the appropriate category. Misuse could restore unauthorized agents to active status, which carries medium severity.
From the tool's definition Unblock a previously blocked agent, restoring it to active status.
Documented attack patterns abuse exactly the kind of access unblock_agent gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Agent 365, and nothing reaches the server without passing your rules. This is the rule we recommend for unblock_agent:
{
"version": "1",
"default": "deny",
"tools": {
"unblock_agent": {
"limits": [
{
"counter": "unblock_agent_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} unblock_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.
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Unblock a previously blocked agent, restoring it to active status. It is categorised as a Write tool in the Agent 365 MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Agent 365 MCP server in PolicyLayer and add a rule for unblock_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 Agent 365. Nothing to install.
unblock_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 unblock_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 unblock_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.
unblock_agent is provided by the Agent 365 MCP server (ramakrishnan24689/agent365-mcpapp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Agent 365, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
5 Agent 365 tools catalogued and risk-classified — across an index of 43,000+ MCP servers.