Get basic information about a CSV file.
AI agents call get_info to retrieve information from CSV MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a read-only operation that queries and returns information about a CSV file without creating, modifying, deleting, or executing any code. It has minimal blast radius if misused by an AI agent, as it only exposes existing file metadata.
From the tool's definition Tool name 'get_info' and description 'Get basic information about a CSV file' indicate retrieval of metadata/information with no modification or deletion of data.
Attacks that exploit this kind of access
Get basic information about a CSV file. It is categorised as a Read tool in the CSV MCP Server MCP Server, which means it retrieves data without modifying state.
Register the CSV MCP Server MCP server in PolicyLayer and add a rule for get_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 CSV MCP Server. Nothing to install.
get_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_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_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_info is provided by the CSV MCP Server MCP server (novaai-innovation/csv-mcp-server). 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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