AI agents call lexq_deploy_detail 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.
This tool only retrieves information about a deployment (details, snapshot hash, integrity check). It performs no modification, execution, or deletion — purely a read/query operation.
From the tool's definition Get detailed info about a specific deployment including snapshot hash and integrity check
Attacks that exploit this kind of access
Get detailed info about a specific deployment including snapshot hash and integrity check. 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_detail: 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_detail 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_detail 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_detail. 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_detail 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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