Searches receipts by a specific date using the pre-built date index. The date format is automatically normalized internally. :param date: The date to search for (e.g.,
AI agents call search_date to retrieve information from Command Line Interface Enhancer without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a read-only search operation on indexed receipt data. While it operates within a CLI enhancer server that includes execute capabilities (run_command, run_expect_script), this specific tool is limited to querying and retrieving existing data by date. There are no side effects, modifications, or destructive actions possible.
From the tool's definition Tool name and description: 'Searches receipts by a specific date using the pre-built date index.' This is a query/search operation with no data modification, deletion, or execution capabilities. It retrieves historical receipt data based on date parameters.
Attacks that exploit this kind of access
Searches receipts by a specific date using the pre-built date index. The date format is automatically normalized internally. :param date: The date to search for (e.g.,. It is categorised as a Read tool in the Command Line Interface Enhancer MCP Server, which means it retrieves data without modifying state.
Register the Command Line Interface Enhancer MCP server in PolicyLayer and add a rule for search_date: 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 Command Line Interface Enhancer. Nothing to install.
search_date 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 search_date 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 search_date. 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.
search_date is provided by the Command Line Interface Enhancer MCP server (jon2allen/mcp_command_serv). 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.
Teams ship this data inside their own products. See what a licence covers →