AI agents call lock_check to retrieve information from Agent Orchestration without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool only reads and returns the current lock status of a resource. It does not acquire, release, or modify any lock. No data is created, modified, or deleted, making it a straightforward Read operation with minimal blast radius.
From the tool's definition "Check if a resource is currently locked" — purely queries the lock state with no side effects
Documented attack patterns abuse exactly the kind of access lock_check gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Agent Orchestration, and nothing reaches the server without passing your rules. This is the rule we recommend for lock_check:
{
"version": "1",
"default": "deny",
"tools": {
"lock_check": {}
}
} lock_check is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Check if a resource is currently locked. It is categorised as a Read tool in the Agent Orchestration MCP Server, which means it retrieves data without modifying state.
Register the Agent Orchestration MCP server in PolicyLayer and add a rule for lock_check: 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 Orchestration. Nothing to install.
lock_check is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the lock_check 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 lock_check. 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.
lock_check is provided by the Agent Orchestration MCP server (madebyaris/agent-orchestration). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Agent Orchestration, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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35 Agent Orchestration tools catalogued and risk-classified — across an index of 43,000+ MCP servers.