AI agents call get_cell_details 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 name 'get_cell_details' follows the retrieval pattern of sibling tools and the overall server purpose is to 'fetch and analyze data from Excel files'. The 'get_*' prefix indicates a retrieval operation with no side effects. Despite the missing description, the contextual evidence is strong that this retrieves cell metadata or content without modifying the workbook.
From the tool's definition Tool name is 'get_cell_details' with no description provided. Sibling tools on this server ('get_cell_value', 'get_content_of_cell_list', 'get_list_of_sheets', 'get_values_of_cell_range', 'search_in_cell_range') are all Read operations that retrieve data from…
Documented attack patterns abuse exactly the kind of access get_cell_details 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_cell_details:
{
"version": "1",
"default": "deny",
"tools": {
"get_cell_details": {}
}
}get_cell_details is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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get_cell_details. 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_cell_details: 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_cell_details 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_cell_details 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_cell_details. 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_cell_details 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.