AI agents call lexq_deploy_overview to retrieve information from LexQ without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool only retrieves and displays deployment status information (version, deployment type, deployer). It performs no modifications, executions, or destructive actions — purely a read/query operation.
From the tool's definition 'Show current deployment status of all groups — which version is live, last deployment type, and deployer'
Attacks that exploit this kind of access
Show current deployment status of all groups — which version is live, last deployment type, and deployer. It is categorised as a Read tool in the LexQ MCP Server, which means it retrieves data without modifying state.
Register the LexQ MCP server in PolicyLayer and add a rule for lexq_deploy_overview: 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 LexQ. Nothing to install.
lexq_deploy_overview 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 lexq_deploy_overview 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 lexq_deploy_overview. 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.
lexq_deploy_overview is provided by the LexQ MCP server (lexq-io/lexq-cli). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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