get_random_sample
A read tool on the Excel MCP server.
This record as markdown: /tools/aifornorms-excelmcp/get-random-sample.md
What get_random_sample does on Excel MCP Server
AI agents call get_random_sample to retrieve information from Excel MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why get_random_sample is rated Low
The tool retrieves a sample of data from an Excel workbook—a read-only operation with no side effects. Even if misused by an agent, sampling data poses minimal risk. Confidence is moderate-high because the description is empty, but the name and server pattern are clear indicators.
From the tool's definition Tool name 'get_random_sample' and server context ('read, and modify Excel workbooks') indicate data retrieval.
Attacks that exploit this kind of access
The rule that runs get_random_sample safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Excel MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_random_sample, this is the rule to start with:
get_random_sample is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Excel MCP Server, apply this rule, and every get_random_sample call is checked against it from then on.
Questions about get_random_sample
get_random_sample is a read tool on the Excel MCP Server MCP server. It is categorised as a Read tool in the Excel MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Excel MCP Server MCP server in PolicyLayer and add a rule for get_random_sample: 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 Excel MCP Server. Nothing to install.
get_random_sample 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_random_sample 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_random_sample. 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_random_sample is provided by the Excel MCP Server MCP server (aifornorms/excelmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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