AI agents call list_connections to retrieve information from Mcp Odbc 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 metadata about existing ODBC connections (listing their names and status). It performs no write, delete, execute, or financial operations. The server documentation notes 'Read-only by default', and this tool exemplifies that constraint.
From the tool's definition Tool name is 'list_connections' and description states 'List all configured connections and their status' — a retrieval operation with no modification or side effects.
Attacks that exploit this kind of access
List all configured connections and their status. It is categorised as a Read tool in the Mcp Odbc MCP Server, which means it retrieves data without modifying state.
Register the Mcp Odbc MCP server in PolicyLayer and add a rule for list_connections: 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 Odbc. Nothing to install.
list_connections 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 list_connections 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 list_connections. 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.
list_connections is provided by the Mcp Odbc MCP server (phil-cheesman/mcp-odbc). 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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