AI agents call get_list_of_sheets to retrieve information from OpenPyXL MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves a list of sheets from an Excel workbook. It has no side effects, does not modify data, and does not execute external operations. It is a pure read operation that queries existing data structure. The empty description slightly reduces confidence, but the naming convention and server context strongly indicate read-only functionality.
From the tool's definition Tool name 'get_list_of_sheets' indicates retrieval of sheet metadata from an Excel file. The server description states it exposes 'Excel file operations' for 'fetch and analyze data'.
Documented attack patterns abuse exactly the kind of access get_list_of_sheets gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and OpenPyXL MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_list_of_sheets:
{
"version": "1",
"default": "deny",
"tools": {
"get_list_of_sheets": {}
}
} get_list_of_sheets is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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get_list_of_sheets. It is categorised as a Read tool in the OpenPyXL MCP Server MCP Server, which means it retrieves data without modifying state.
Register the OpenPyXL MCP Server MCP server in PolicyLayer and add a rule for get_list_of_sheets: 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 OpenPyXL MCP Server. Nothing to install.
get_list_of_sheets 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 get_list_of_sheets 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 get_list_of_sheets. 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.
get_list_of_sheets is provided by the OpenPyXL MCP Server MCP server (jonemo/openpyxl-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from OpenPyXL MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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6 OpenPyXL MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.