AI agents call get_content_of_cell_list 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.
The tool retrieves cell content from an Excel file, consistent with other data-fetching operations on this server. No description is provided, but the naming pattern and sibling tools strongly indicate a read-only query operation with no side effects. Confidence is slightly reduced due to empty tool description, but the consistent Read-only context across the server makes misclassification unlikely.
From the tool's definition Tool name 'get_content_of_cell_list' indicates retrieval of cell contents. Sibling tools (get_cell_details, get_cell_value, get_list_of_sheets, get_values_of_cell_range, search_in_cell_range) are all Read operations.
Documented attack patterns abuse exactly the kind of access get_content_of_cell_list 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_content_of_cell_list:
{
"version": "1",
"default": "deny",
"tools": {
"get_content_of_cell_list": {}
}
}get_content_of_cell_list is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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get_content_of_cell_list. 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_content_of_cell_list: 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_content_of_cell_list 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_content_of_cell_list 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_content_of_cell_list. 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_content_of_cell_list 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.