Get detailed information about a specific sheet including column names, types, sample data, and row count. Returns comprehensive sheet metadata. Use for: sheet exploration, data structure understanding, type inference, header detection, schema discovery. EXAMPLES: Understand data types before fil...
AI agents call get_sheet_info to retrieve information from Mcp Excel without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a pure data retrieval operation that queries sheet structure and properties without side effects. It provides information necessary for downstream operations but does not modify data, execute code, or commit any changes. The tool is designed specifically for understanding and validating data structure, which is characteristic of Read category operations.
From the tool's definition Tool returns sheet metadata including column names, types, sample data, and row count. Described as enabling 'sheet exploration, data structure understanding, type inference, header detection, schema discovery' with examples like 'Understand data types before…
Documented attack patterns abuse exactly the kind of access get_sheet_info gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp Excel, and nothing reaches the server without passing your rules. This is the rule we recommend for get_sheet_info:
{
"version": "1",
"default": "deny",
"tools": {
"get_sheet_info": {}
}
} get_sheet_info is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get detailed information about a specific sheet including column names, types, sample data, and row count. Returns comprehensive sheet metadata. Use for: sheet exploration, data structure understanding, type inference, header detection, schema discovery. EXAMPLES: Understand data types before filtering, Check column names for filter building, Verify data structure matches expectations, Get sample rows for validation. It is categorised as a Read tool in the Mcp Excel MCP Server, which means it retrieves data without modifying state.
Register the Mcp Excel MCP server in PolicyLayer and add a rule for get_sheet_info: 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 Mcp Excel. Nothing to install.
get_sheet_info 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_sheet_info 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_sheet_info. 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_sheet_info is provided by the Mcp Excel MCP server (jwadow/mcp-excel). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Mcp Excel, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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25 Mcp Excel tools catalogued and risk-classified — across an index of 43,000+ MCP servers.