Rank rows by column value (ascending or descending). Supports top-N filtering and ranking within groups. Returns ranked rows with rank numbers and Excel formulas. Use for: top/bottom analysis, leaderboards, percentile ranking, category-wise ranking, performance comparison. EXAMPLES: Top 10 custom...
AI agents call rank_rows 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.
The rank_rows tool retrieves and reorganizes data through aggregation and ranking—core read operations. It returns computed rankings and formulas without altering the underlying data. The examples (top customers, bottom products, rankings) all demonstrate data retrieval and analysis. No irreversible changes, code execution, financial impact, or side effects are possible. This is a safe analytical query operation.
From the tool's definition Tool performs ranking and sorting operations on existing data: 'Rank rows by column value', 'Returns ranked rows with rank numbers', 'top/bottom analysis', 'leaderboards', 'percentile ranking'.
Documented attack patterns abuse exactly the kind of access rank_rows 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 rank_rows:
{
"version": "1",
"default": "deny",
"tools": {
"rank_rows": {}
}
} rank_rows is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Rank rows by column value (ascending or descending). Supports top-N filtering and ranking within groups. Returns ranked rows with rank numbers and Excel formulas. Use for: top/bottom analysis, leaderboards, percentile ranking, category-wise ranking, performance comparison. EXAMPLES: Top 10 customers by revenue, Bottom 5 products by sales, Top salesperson per region, Ranking students by score. 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 rank_rows: 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.
rank_rows 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 rank_rows 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 rank_rows. 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.
rank_rows 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.
Free to start. No card required.
25 Mcp Excel tools catalogued and risk-classified — across an index of 43,000+ MCP servers.