Get sample rows from a table
AI agents call get_sample_data to retrieve information from SQL Server MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns sample data from a table. It performs a SELECT operation with no capability to modify, delete, or execute code. The read-only nature of the server and the retrieval-only semantics of the tool classify it as Read category with low severity.
From the tool's definition Tool name 'get_sample_data' and description 'Get sample rows from a table' indicate data retrieval with no modification. Server is explicitly described as 'read-only MCP server for SQL Server database introspection'.
Attacks that exploit this kind of access
Get sample rows from a table. It is categorised as a Read tool in the SQL Server MCP MCP Server, which means it retrieves data without modifying state.
Register the SQL Server MCP server in PolicyLayer and add a rule for get_sample_data: 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 SQL Server MCP. Nothing to install.
get_sample_data 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_sample_data 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_sample_data. 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_sample_data is provided by the SQL Server MCP server (millelog/sql-server-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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